76results about How to "Guarantee scientific" patented technology

The invention provides a filing method and a device thereof for performance data, and the method comprises the following steps: getting a sequence of historical performance data records; detecting the internal association among different data items with specific relationship according to the sequence of the historical performance data records; establishing a regression model for mutual fitting for the associated data items with the internal association; and using the corresponding regression model to calculate estimation values of the data items in deletion according to the known values of the associated data items if the deletion of the data items occurs in the performance data records and filling the estimation values to the performance data records in deletion. The modeling method based on mathematical statistics and data mining technology is firstly applied in filling of the performance data in a network management system, thereby realizing scientification, intelligentization and automation of the filling method, not only effectively ensuring the accuracy of data filling, but also greatly improving the filling efficiency of the batch data in deletion.

The invention discloses a nutritional diet recommending and evaluating method based on machine learning, and the method comprises the steps: 1, obtaining user information which comprises personal information and physical condition information; 2, transmitting the collected user information to an intelligent data processing center; 3, enabling an intelligent data processing center to carry out theintegration and processing of the received user information; 4, generating a reference nutrient ADI (acceptable daily intake) corresponding to the user information, and generating a nutritional diet recipe which is suitable for a user; 5, recording the actual diet information of the user; 6, converting the actual diet information of the user into a specific nutrient ADI, and carrying out the dataconversion through the querying of health data; 7, carrying out the estimation of the diet of the user according to the reference nutrient ADI and the actual nutrient ADI. Through combining with the physical condition of the user, the method provides the targeted nutritional diet recommendation services for the user, and achieves a purpose of guiding and assisting the user to have a healthy diet.

The invention discloses a key node recognition method in a power communication network. The method comprises the following steps: step one, constructing a power communication network node importance evaluation system based on power communication network information; step two, constructing a normalized matrix based on the power communication network node importance evaluation system; step three, comprehensively determining index weight based on an entropy weight method and an analytic hierarchy process; step four, combining the weight vector with the normalized matrix to construct a weighted normalized matrix; and step five, computing based on the weighted normalized matrix to acquire the node importance order, recognizing a key node based on the order result, thereby realizing the technical effect of accurately recognizing the key node in the power communication network.

The invention discloses a communication bandwidth prediction method and device based on power business requirements and relates to the field of power grid communication technologies. The communication bandwidth prediction method and device based on the power business requirements mainly aim at improving the accuracy of business flow calculation and guaranteeing the scientificity and reasonability of infrastructure investments of all levels of communication networks of an enterprise. According to the main technical scheme, power businesses are classified according to bearing modes; communication bandwidth of the power business requirements are counted to obtain historical data for demand prediction predication of the communication bandwidth of different types of businesses according to corresponding bandwidth counting methods, and data of an influence factor system for communication bandwidth prediction are given; the data of the influence factor system for communication bandwidth prediction are simplified by the adoption of a principal component analysis method, and the simplified data of the influence factor system for communication bandwidth prediction are obtained; according to the simplified data of the influence factor system for communication bandwidth prediction and the historical data, power business bandwidth predicted through a neural network model, and the predicted actual communication bandwidth quantity required is obtained.

A high speed online cigarette steel seal detecting system consists of a CCD system, a lighting system, a cooling and dedusting module, an image control system, an industrial personal computer, a shift pulse device, a management control module, an alarm and stop module, an removing device and a switching power supply, overcomes the disadvantages of the existing similar technologies that real-time online detection cannot be synchronously carried out, the operation of the CCD system is not stable, the maintenance workload is great, and functions are not complete, etc. The detecting system has the advantages that the detecting system can realize online comprehensive detection of quality of each cigarette steel seal in synchronization with a high speed cigarette making unit, the CCD system has functions of cooling and dedusting, the maintenance-free time is long. The detecting system can accurately detect definition, damage, ink dot, ink bleed, upper-lower chromatic position deviation and left-right chromatic position deviation of the cigarette steal seal in time, has the management control functions of alarming, removing, shutting down for continuous removal, fault image storage and search, self-diagnosis, grouping of defective cigarettes, shift detection data statistics, etc. The CCD system can be extended and applied to other fields; therefore, the detecting system has strong applicability, great popularization and application value.

The invention discloses an operation simulation method, device and equipment suitable for an electric spot market. The method comprises the steps of opetating a case; setting a scene-oriented corresponding to the case; configuring market transaction parameters; selecting and importing basic data and operation data used for simulation into the electric spot market simulation system, and generatingsimulation boundary conditions; issuing electric power market operation information on the electric power spot market simulation system; obtaining transaction application information; performing simulation calculation of the electric power market according to the oriented scene corresponding to the case, the market transaction parameter, the simulation boundary condition and the transaction application information to obtain a simulation result; And the simulation result is evaluated and analyzed, and obtaining evaluation and analysis data of the electric spot market. The method is suitable forthe operation simulation analysis of the electric spot market, and is beneficial to reducing the decision and implementation risk of the electric spot market.

The invention relates to an automatic intelligent design and optimization system for an anchor bolt support of a coal tunnel. The system comprises a tunnel surrounding-rock index obtainment and stability classification subsystem, an anchor bolt support parameter intelligent-matching subsystem and a support design verification and optimization subsystem, wherein the tunnel surrounding-rock index obtainment and stability classification subsystem realizes the classification and evaluation of tunnel surrounding-rock stability by processing data input by a user or calling parameters in relevant knowledge bases; the anchor bolt support parameter intelligent-matching subsystem establishes a training model based on a sample tunnel training BP (Back Propagation) neural network in an internal knowledge base of the system to realize the intelligent matching of anchor bolt support parameters of the coal tunnel; the support design verification and optimization subsystem implements theoretic checking calculation based on a suspension theory, a combined beam theory, a combined arch theory and an energy theory according to the anchor bolt support parameters obtained by the anchor bolt support parameter intelligent-matching subsystem, and automatically analyzes various support schemes to select the support scheme which meets the deformation requirements of tunnel surrounding-rocks, wherein the selected support scheme being the optimal support scheme is recommended to the user. By applying the system, the scientificity and the reasonability of the anchor bolt support structure and parameters are effectively guaranteed; the reliability of an anchor bolt support system is improved; the healthy development of an anchor bolt support technique for the coal tunnel in our country is promoted.

A first purpose of the present invention is to provide a fuzzy comprehensive evaluation method for safety risks of chemical hazards in a food. The method comprises the following steps: S1, detecting the content of each chemical hazardous substance in the food, determining the evaluation value of each chemical hazardous substance, and constructing an evaluation factor set; S2, establishing a comment set of fuzzy comprehensive evaluation: evaluating the food safety risk by taking the national limit standard MRL of food safety as an evaluation standard and adopting a zero / micro, low, medium, highand ultrahigh five-level scaling method; S3, taking the evaluation value of each chemical hazardous substance in step S1 as a calculation basis, and determining the weight of the multi-level risk factor by adopting an entropy algorithm, wherein the original detection data normalization method in the step S1 is revised by adopting a fixed coefficient method; and S4, calculating the safety risk comprehensive evaluation index FSI of the chemical hazard substances at all levels in the food by adopting a fuzzy comprehensive evaluation technology. The calculation method is objective and unified, and participation of subjective factors is effectively avoided.

The invention discloses an atmosphere pollutant automatic monitoring sample-reserving system. The atmosphere pollutant automatic monitoring sample-reserving system comprises an atmosphere pollutant on-line monitor, a main controller, a memory, a sample-reserving controller, and an automatic sample-reserving apparatus. When an atmosphere pollutant in a target environment of an atmosphere pollutanton-line monitor exceeds a standard or exceeds a preset value as a pollution source point location contribution value, the main controller controls the powering-on of the automatic sample-reserving apparatus by controlling the sample-reserving controller to collect the atmosphere pollutant in the target environment, and the automatic sample-reserving apparatus is turned off after collection is completed. The atmosphere pollutant automatic monitoring sample-reserving system uses characteristics of an atmosphere pollutant on-line traceability system and the automatic sample-reserving controller,and through combination of real-time on-line monitoring and off-line analysis, scientificity and accuracy of monitoring data are guaranteed.

The invention relates to a satellite-ground raindrop spectrum parameter matching and evaluating method and system. The method comprises the following steps: S1, acquiring data from different data sources; S2, matching the data of different data sources; and S3, evaluating raindrop spectrum parameter data. According to the method, raindrop spectrum data products of a foundation, an empty foundationand a space foundation can be decomposed, the same element observed by different devices is sorted, and after single elements of multiple devices are subjected to quality control, for the same observation element, Matching cross validation analysis is carried out on direct observation and telemetry data of different observation platforms and different observation inversion methods, similarities and differences are analyzed, and finally analytical validation for instrument levels is established based on raindrop spectrum parameter data, so that high-quality raindrop spectrum parameter data andproduct support are provided for weather forecast and decision service. On the basis of verifying the data quality of the raindrop spectrometer network of the national ground meteorological station,not only is liquid rainfall analyzed, but also solid rainfall can be analyzed.

The invention discloses a power distribution automation system wireless communication channel automatic test system based on a Metlab, is applied to on-site acceptance check of power distribution automation system terminal equipment and is for realization of quantitative testing of wireless communication channels and flexible setting of parameters such as IP addresses of master stations, times of sending data packets, sizes of the data packets, times of cycling of tests and test time intervals. The invention also discloses a power distribution automation system wireless communication channel test result automatic extracting method base on the Matlab. In the method, according to collecting of Ping command return results, a function of test result automatic collecting is realized by means of recognizing of key characters and obtaining of test data of various test contents. The invention also disclosed a power distribution automation system wireless communication channel test report automatic generation method based on the Metlab. According to the method, a test report is resolved into a plurality of sub-portions, and format parameters of the portions are obtained. The related parameters are guided into a self-brought formatting output function of the Metlab, and then subjected to combination to realize a formatting output function of the test report.

The invention relates to a magnetic inductive composite puffing device suitable for electronic cigarettes and low-temperature cigarettes. The magnetic inductive composite puffing device comprises a power supply control part, an atomizing part and a puffing part which are sequentially connected, wherein the atomizing part comprises a hollow outer shell; a base is arranged at one end of the outer shell; a first magnetic induction coil is arranged in the outer shell; a solid smoke forming substance is arranged in a cavity surrounded by the first magnetic induction coil; a first heating element isarranged in a part of the solid smoke forming substance corresponding to the first magnetic induction coil; the magnetic inductive composite puffing device also comprises a tobacco juice atomizing mechanism; and the tobacco juice atomizing mechanism is arranged inside or outside the cavity surrounded by the first magnetic induction coil. The magnetic inductive composite puffing device provided bythe invention can heat the solid smoke forming substances of the low-temperature cigarettes and the tobacco juice of the electronic cigarettes to form smoke at the same time, can effectively combinethe advantages of the low-temperature cigarettes and the electronic cigarettes, overcomes a defect that the low-temperature cigarettes need to wait for more than ten seconds or even longer to form thesmoke, and can be adopted to guarantee a puff number and consistency before and after puffing to the greatest extent.

The invention provides a low-carbon travel carbon emission reduction verification method and system based on travel chain big data. The method comprises the steps of 1) obtaining sample data of traveldata; 2) when the sample data is walking data, turning to the step 3); when the sample data is bicycle data, turning to the step 4); when the sample data is electric bicycle data, turning to the step5); 3) adopting a walking travel distance verification method to perform verification and deduplication on the sample data to obtain a final effective travel distance; calculating the carbon emissionof walking according to the final effective travel distance; 4) adopting a bicycle travel distance verification method to perform verification and deduplication on the sample data to obtain a final effective travel distance; calculating the carbon emission of the bicycle according to the final effective travel distance; 5) verifying and de-weighting the sample data by adopting a verification method of the travel distance of the electric bicycle to obtain a final effective travel distance; and calculating the carbon emission of the electric bicycle.

The invention discloses a laneway side support design method based on weak plane shear and support theories. The laneway side support design method comprises the following steps: building a stress balance mechanical model for a slip failure of rock mass around a half coal and rock laneway along a certain weak plane alpha under the action of external force; judging a critical condition under which a shear failure occurs on surrounding rocks on a half coal and rock laneway side; determining that shearing strength on an inner side of the laneway in a direction of 45 degrees is maximum; building a support mechanical model for the half coal and rock laneway side based on the shearing strength principle that the rock mass needs to be pressed against a largest shearing weak plane on a largest shearing block after being reinforced and supported by anchor rods; and giving a calculation formula for the number n of the anchor rods on the weak planes on the laneway side and a length l of an ith anchor rod in order to design the laneway side support. Through adoption of the method, support materials are reduced; the support cost is lowered; and a beneficial reference is provided for scientific performance and applicability of support parameters.

The invention discloses a construction engineering cost evaluation management system based on big data analysis. The construction engineering cost evaluation management system comprises a drawing input module, a model construction module, a length detection module, a length analysis module, an analysis server, a component quality analysis module, a component volume analysis module, a temperature detection module, a wall body cost evaluation module, a display terminal and a storage database. The actual size data of each wall body in the house building are counted through the drawing input module and the model building module, the length of each steel bar longitudinally erected and transversely erected in each wall body in the house building is measured, and the volume of concrete needing tobe poured into the wall bodies in the house building is calculated; meanwhile, the mass and the volume of each component in unit volume of concrete are analyzed, the temperature of the concrete during wall construction is detected, and the comprehensively influenced wall engineering cost in house construction is evaluated through the wall cost evaluation module, so that the evaluation efficiencyof the building engineering cost is improved, and the evaluation accuracy of the wall engineering cost is improved.

The invention provides a fracture-vug type reservoir productivity determination method considering stress sensitivity, which comprises the following steps: expanding a secondary fracture-vug system model based on a single fracture-vug physical model to form a parallel fracture-vug conceptual model containing primary and secondary fracture-vug system models, and constructing a permeability reduction mathematical model according to the relevance between stress sensitivity and permeability, according to the relevance between the permeability and the productivity, obtaining a fracture-vug type reservoir productivity formula model considering stress sensitivity on the basis of a permeability decreasing mathematical model and a constructed basic mathematical description model, and further obtaining a curve chart of stress sensitive value change characteristics to fracture-vug type reservoir productivity change; and adjusting and fitting the curve chart by using the actual productivity curve to determine a final target reservoir productivity formula. By the adoption of the scheme, the defect that an existing fracture-vug type reservoir productivity formula is insufficient in accuracy is overcome, the stress sensitive parameters are introduced, productivity prediction can be more accurately achieved for the reservoir in the target area, and reasonable development of the fracture-vug type reservoir is guided.

The invention discloses a system and a method for simultaneously displaying real-time video and geographic location information; the system comprises a front node group and a rear command center node,wherein the front node group comprises a plurality of front nodes used for collecting live audio and video data and geographic position information, and the front node and the rear command center node perform bi-directional communication through a wireless link. The front node group comprises a plurality of front nodes for collecting live audio and video data and geographic position information.The invention can simultaneously display the real-time video, the corresponding geographic position information and the environment information, at the same time, the display layout can be conveniently adjusted, the fusion display of a plurality of nodes is supported, and the information display mode is unique and efficient.

The invention relates to the technical field of traffic, in particular to a configuration method for emergency police dispatching points in an accident-prone area. The method comprises: including accident distribution characteristics and accident high-incidence time periods; determining accident-prone points and latitude and longitude coordinates of each accident-prone point; generating a road network schematic diagram, and calculating the shortest time distance between the accident-prone points; generating a road network structure topological graph; and obtaining the position of the emergency police dispatching point. According to the present invention, according to the existing data basis, the time-space characteristics of road traffic accidents are continuously mined and analyzed, the configuration scheme of emergency police scheduling points based on accident-prone areas is researched, the utility of traffic police resources is fully exerted, the effect of warning traffic flow and people flow before the accidents occur is achieved, after an accident occurs, the corresponding traffic police force is dispatched in the shortest time to handle the accident, so that the response time of the police force to the accident is reduced, the scientificity and the high efficiency of urban police force dispatching point configuration are further realized, and a beneficial reference is provided for the setting of the urban police force dispatching point.

The invention relates to a magnetic-induction atomization device which comprises an outer shell body, wherein a base is arranged at one end of the outer shell body, and an opening is formed in the other end of the outer shell body; a notch communicated with the interior of the outer shell body is formed in the outer shell body; a magnetic-induction coil distributed in the length direction of the outer shell body is arranged in a notch segment of the outer shell body, and the overall shape of the magnetic-induction coil is matched with the notch segment of the outer shell body; a solid-state fuming object is arranged in the magnetic-induction coil. The magnetic-induction atomization device further comprises a magnetic-induction conductor support piece matched with the notch and detachably mounted at the notch; a plurality of magnetic-induction conductors extending into the fuming object are arranged on the magnetic-induction conductor support piece. According to a suction device provided by the invention, the fast fuming and the volume of smoke can be ensured to the utmost extent, and the utilization ratio of the fuming object is improved.

The invention discloses a method and a system for detecting bonding defects inside a composite insulator. The method comprises the following steps of acquiring a visible light image, a first speckle image and a second speckle image of a detected composite insulator through laser array equipment, thermal excitation light source equipment, and imaging equipment; performing operation processing on the first speckle image and the second speckle image through the data processing equipment to obtain an interference fringe image and a phase image; and performing Gaussian filtering processing, drawingan edge image to integrate with the visible light image to obtain an integrated image, and identifying bonding defects inside the composite insulator. Through the method disclosed by the invention, the rapid, accurate, non-contact and visual detection of the bonding defects inside the composite insulator is realized, the defection effect on the tiny bonding defects inside the composite insulatoris good, an aim of efficiently and accurately detecting the bonding defects inside the composite insulator is realized; and the method is simple in operation, visual in imaging, the influence by the operation subjective factor of a detector is small, and the objectivity and the scientificity of the detection can be effectively guaranteed.

The invention relates to an intelligent physiological parameter determination method. The method includes the steps that an intelligent physiological parameter determination device is provided, wherein the determination device comprises image information acquisition equipment, an SD storage card, pulse detection equipment, blood glucose detection equipment and an MSP430 chip, the image information acquisition equipment is used for acquiring image data of a tested person, and the MSP430 chip is connected with the image information acquisition equipment and the SD storage card and is used for matching out the race type of the tested person in stored data of the SD storage card based on the image data of the tested person and determining physiological parameter threshold values capable of being used for the pulse detection equipment and the blood glucose detection equipment based on the race type; 2, the determination device is used.

The invention discloses water quality monitoring pretreatment equipment for a river and lake drainage basin. The water quality monitoring pretreatment equipment comprises a floating box, the floatingbox is internally provided with a filtering cavity with an upward opening, the filtering cavity is internally provided with a filter net assembly capable of being turned over in the filtering cavity,and the filter net assembly can be slidably connected to the interior of the filtering cavity through four fixing pins which are arranged in the filtering cavity and are in central symmetry. Accordingto the water quality monitoring pretreatment equipment, a sleeve mode is adopted for surrounding a structure of an extracted water sample, through left-right rotation of the opening, it is guaranteedthat the water sample is a pretreated water source after filtration, the scientificity of information processing and receiving is guaranteed, and the influence of pollution of impurities and garbageis eliminated. The height difference of turning points and pulling points is adopted so that a filter net can be turned over and slide along the turning points, garbage on the filter net is removed, the situation that after a long term, the garbage attached to the filter net clogs the filter net is prevented, the sustainable working mode is achieved, and manual periodic cleaning is reduced.

The invention relates to a seedling raising method for sowing alpine-region oil paeonia rockii fresh seeds and covering the seeds with a black film. The seedling raising method comprises the following steps: (1) picking seeds, namely in an alpine region with elevation of 1800-2500m, immediately picking yellow paeonia rockii follicle pods in the middle of August to obtain fresh pods; (2) furrowing and ridging, namely furrowing when the soil humidity is 60%-70%; (3) processing seeds, namely putting the fresh pods in a shade place for 1-2 days, removing the husks of the seeds when the pod skin is slightly softened, and cleaning the seeds with water to obtain processed seeds; (4) sowing, namely directly sowing the processed seeds in a large field, covering soil after sowing, lightly suppressing, and covering the seeds with the black film; (5) managing after sowing, namely from the last ten-day of March to the first ten-day of April in the next year, removing the black film when the ground temperature is 10 DEG C and above, shallowly tilling surface oil, weeding and sterilizing when the seedlings are 3-8cm and have three leaves in the last ten-day of May, and hoeing and loosing soil, watering, controlling plant diseases and insect pests, and heaping soil through the winter according to conventional methods. According to the seedling raising method disclosed by the invention, the cost can be effectively reduced and the emergence rate can be increased.

The invention relates to a multifunctional medical monitoring alarming platform. The alarming platform comprises an image data analysis device, a brain wave detection device, a blood oxygen detection device, and an ARM9 processor. The image data analysis device is used to analyze race information of a tested person based on the image of the tested person. The ARM9 processor is connected with the image data analysis device, the brain wave detection device, and the blood oxygen detection device, and sets various medical data threshold values including preset oxyhemoglobin saturation upper limit concentration and preset oxyhemoglobin saturation lower limit concentration based on the race information of the tested person. The blood oxygen detection device determines whether to give out an alarm signal on the oxyhemoglobin saturation of the tested person based on the preset oxyhemoglobin saturation upper limit concentration and the preset oxyhemoglobin saturation lower limit concentration. The alarming platform can give out more accurate medical parameter alarm signals based on the race information of the tested person.

The invention discloses a project cost management system based on big data analysis. The project cost management system comprises a region division module, a compactness detection module, a compactness analysis module, a detection point distribution module, an environmental parameter detection module, an environmental parameter analysis module, an analysis server, a parameter data acquisition module, a project cost evaluation module, a display terminal and a storage database. The method comprises steps of analyzing the average soil compactness of each depth sub-region in the underground regionof the water conservancy project dam to be constructed, comparing and screening the soil depths of the depth sub-regions meeting the requirements, and meanwhile, detecting each environmental parameter of each water body depth in each sub-region in the underground region; and calculating the comprehensive cost influence coefficient of the water conservancy project dam by combining the maximum windspeed and the maximum wind direction angle of the region in recent years, obtaining each planning parameter data of the water conservancy project dam to be constructed, and evaluating the comprehensive cost of the water conservancy project dam to be constructed, thereby improving the evaluation accuracy and rationality of the cost of the water conservancy project.

The embodiment of the invention discloses an indoor plant cultivation method and device and a medium, and relates to the technical field of intelligent cultivation, and the method comprises the steps: collecting a plant image of an indoor plant, current growth environment data of the indoor plant, and current indoor environment data of an indoor environment; determining a plant attribute of the indoor plant based on the plant image of the indoor plant; determining specified cultivation parameters of the indoor plants according to the plant types and the current growth states of the indoor plants; according to the current growth environment data and the current indoor environment data, adjusting the water demand, the required humidity parameter and the required illumination parameter of indoor plants in the specified cultivation parameters to generate a first cultivation parameter; and generating a culture scheme according to the nutrition parameters required by the indoor plants in the specified culture parameters and the first culture parameter, so as to culture the indoor plants through the intelligent culture device according to the culture scheme. And the maintenance requirements of plants of different types and different stages in different scenes can be met.

The invention discloses a storage strategy generation method, which comprises the following steps: obtaining a storage demand input by a user, the storage demand at least comprising a storage capacity, a data protection level and a storage performance index; generating a storage strategy according to the storage requirement and the current available storage configuration, and testing the storage strategy in a preset test platform; judging whether the obtained test result conforms to a storage condition preset by a user or not; and if yes, determining the storage strategy as the optimal storagestrategy. According to the method, the generation efficiency of the storage strategy can be improved, and the practicability and scientificity of the storage strategy are guaranteed, so that an optimal storage strategy meeting requirements can be provided for a user. Correspondingly, the storage strategy generation device and equipment and the readable storage medium disclosed by the invention also have the above technical effects.

The invention discloses a project cost intelligent management system based on cloud computing. The system comprises a region division module, a detection point arrangement module, a soil specific gravity detection module, a soil specific gravity analysis module, a data acquisition module, a parameter data statistics module, a compactness detection module, a compactness analysis module, a volume analysis module, an analysis server, a display terminal and a storage database. According to the method, the soil specific gravity in the pre-laid road area is detected, the soil types corresponding tothe pre-laid road area are compared and screened, the comprehensive influence coefficient of type selection of the pre-laid road pavement is calculated in combination with the influence factor data, and the type corresponding to the pre-laid road pavement is analyzed; and meanwhile, parameter data and soil compactness of each sub-region in the pre-laid road blank region are obtained, the total volume of actual laying in the pre-laid road region is calculated, and the comprehensive cost of the pre-laid road is evaluated, so that the reasonability and the evaluation accuracy of the road engineering cost are improved.

The invention discloses a Single-vehicle cost accounting algorithm based on vehicle-mounted equipment and energy consumption, and the method comprises the following steps: 1, directly counting the fixed cost and transportation consumption main change cost of a Single-vehicle into a Single-vehicle for accounting, and sharing each management cost which cannot be directly counted into the Single-vehicle into the Single-vehicle for accounting, comprising fixed cost accounting and change cost accounting; the change cost accounting comprising four-fee accounting and direct cost accounting of labor cost, road and bridge passing cost and the like; 2, management fee accounting: sharing and counting various management fees of the single vehicle, the secondary units and the headquarters indirectly into single-vehicle cost accounting according to a workload and income proportion method. According to the single-vehicle accounting report, comprehensive statistics is carried out on fixed fees, change cost and management fees such as single vehicle accounting fixed load quality, actual load quality, single vehicle main data information, planned workload, actual workload, planned income, actual income, four-fee quota and actual consumption data, and single-vehicle benefits are truly reflected.

The invention provides a tandem type deepwater automatic depth setting water quality sample collector, and relates to the technical field of water quality samplers. The collector comprises a cylinder body with two through ends and a cylinder cover connected to the two ends of the cylinder body in an opening and closing manner; the opening and closing end of the cylinder cover is connected to an elastic tension mechanism, and the hinge end of the cylinder cover is provided with a locking mechanism; the locking mechanism is in transmission connection with the water pressure driving device, and the water pressure driving device drives the locking mechanism to unlock the cylinder cover through water pressure. Depth setting is converted into corresponding air pressure through the relation between the water depth and the water pressure, the problem that the depth cannot be controlled when a depth-setting sample is sampled at present is solved, scientificity, representativeness and accuracy of sample collection are guaranteed, and accurate data are provided for analysis and evaluation of a water body.