63 results about "Constraint factor" patented technology

Disclosed is a system and method for optimizing submission of output jobs to a network of output devices, using an output job manager to assign jobs to devices. The assignments are done automatically, based on policies associated with users, output devices, organizations responsible for the output devices, and the system as a whole. User output preferences are expressed as one or more user policies. System and organizational constraints associated with users and output devices and the managing of groups of output devices are also expressed as policies. An optimizing scheduler calculates tradeoffs between user preferences, and factors in constraints to optimize submission of jobs to output devices, and to optimize use and wait times on the output devices.

The invention discloses an improved fuzzy neural network bus intelligent scheduling method based on a chaos theory, and belongs to the field of intelligent transportation. According to the improved particle swarm bus intelligent scheduling method based on the chaos theory, advantages and complementarity of various algorithms are fully utilized, a series of improvement measures are also introduced, such as conjugate gradient optimization, and inertia factor and constraint factor of the particle swarm algorithm etc., the mechanism and the search performance are researched from the theoretical and practical perspectives, problems of poor global search capability and premature convergence of the conventional optimization algorithm are fundamentally solved, the diversity of population can be obviously increased, the global search capability is obviously improved, the problem of fuzzy information can be effectively dealt with, the convergence speed is fast, and a new high-efficiency method is provided for bus intelligent scheduling.

The invention mainly provides a bus stop site selection and layout optimization method based on passenger trip spatial distribution. The bus stop site selection and layout optimization method based on the passenger trip spatial distribution mainly comprises construction of a bus stop site selection optimization model and a solution algorithm thereof. The bus stop site selection optimization model takes minimization of walking distance of all the residents for taking buses as a goal and considers realistic constraint factors such as maximum walking distance between a resident dense point and a bus stop and upper and lower bounds of distance between adjacent stops, the solution algorithm of the bus stop site selection optimization model is a novel hybrid algorithm and combines advantages of a bacterial foraging optimization algorithm and a group random search algorithm, and according to problem characteristics, individual bacterium coding, initial bacterial colony generating, individual bacterium evaluation function generating and bacterial foraging operations are redesigned. The bus stop site selection and layout optimization method based on the passenger trip spatial distribution scientifically and reasonably determines bus stop positions by combining a real road topological structure according to trip spatial distribution characteristics of residents nearby a route, so that resident trips are facilitated, and bus operation efficiency is also improved.

The invention discloses a particle swarm algorithm-based triangular mesh normalization method. With the method adopted, the quality of triangles in a mesh model can be effectively improved with the geometric characteristics of meshes ensured. According to the method, a particle center position Pc, a constraint factor Xi and an adaptive inertia factor Omega a are introduced to improve a particle swarm algorithm, and therefore, a situation that the algorithm is trapped in local optimum when operating can be avoided effectively, the convergence speed of the algorithm can be increased, and the search range of the algorithm is adjusted in real time; the local fitting surface of vertexes is adopted as the search domain of particle swarms, and therefore, the problem of volume shrinkage of a triangular mesh model after normalization existing in most of algorithms can be solved; and whether a certain vertex is required to be adjusted can be confirmed through judging whether the included angle of the normal directions of the vertex before and after adjustment, and therefore, the detail features of the mesh model after normalization will not lose.

The invention discloses a method for continuously preparing fiber gratings on line. According to the method, coating and curing of a prefabricated bar high-temperature drawn bare fiber and a bare fiber protective layer are separated. By the method, adverse interaction between a wire drawing process and an on-line grating write-in and coating process is eliminated; the method is easy to control; and the operation of a system is stable. In addition, mutual constraint factors between the processes are eliminated, the two processes are respectively performed under optimal process conditions, and many technical problems of conventional dynamic on-line grating formation are well solved.

The invention discloses an energy efficiency resource allocation method based on dynamic interference updating. According to the energy efficiency resource allocation method disclosed by the invention, for an MIMO uplink adopting MRC reception, joint optimization of base station antenna number and transmitting power is performed, the highest transmitting power limitation of the client is further considered on the basis of satisfying the lowest user rate to serve as a constraint factor so as to establish an energy efficiency optimization model, being different from the method of replacing an interference term with a numerical value in the existing study, the transmitting power of the client is reallocated in each turn of iterative process in the energy efficiency resource allocation method disclosed by the invention, resulting in a change of the value of the interference term, therefore the interference term is re-calculated in every iterative process, and the interference term constant scheme in the existing study is replaced by a manner of updating the interference term in real time. By adoption of the energy efficiency resource allocation method disclosed by the invention, higher energy efficiency can be obtained by lower resource consumption, and meanwhile the system throughput is better.

The invention mainly provides a station stopping ability-based public transit network layout method. The method mainly comprises a step of constructing a public transit network optimization model and a solving algorithm thereof, wherein the public transit network model aims at maximum nonstop passenger flow density, minimum travel time and minimum public transit enterprise operation cost, and considers the realistic constraint factors such as a topological structure and nonlinear line coefficients of a public transit network; the solving algorithm is a cooperative ant colony algorithm; according to the solving algorithm, a construction rule, pheromone, heuristic information and a selection strategy of solutions are defined. In allusion to the imbalance of the space-time distribution during the trips of residents, the station stopping ability-based public transit network layout method can be used for carrying out necessary optimization and adjustment on the public transit network to satisfy the trip demands on the basis of satisfying the factors such as line length, nonlinear coefficients and coverage rate through combining real road topological structures, so that the trips of the residents are facilitated and the public transit operation cost is saved.

The invention provides a DSPP (Discriminant Sparsity Preserving Projections) method for unconstrained face recognition. The method comprises the following steps of: (1) when calculating a sample reconstructing relation matrix W, increasing weight coefficients of similar non-neighboring samples by using category labels and intra-class compactness constraints; (2) when calculating a low-dimensionalmapping matrix P, adding a global constraint factor to further reduce the influence of dissimilar false-neighboring samples on a projection matrix to ensure that a low-dimensional manifold essential structure hidden in complex redundant data can be more accurately mined; and (3) realizing low-dimensional linear mapping of high-dimensional sample data. The method provided by the invention has the beneficial effects that for unconstrained face images obtained in the real environment, redundant information in high-dimensional data the DSPP can more accurately eliminated, essential features are extracted and the representation ability is enhanced; and in the meantime, the data dimension is also reduced, the storage space is saved and the reliability and the effectiveness of the face recognition are greatly increased.

The invention relates to an urban cellular automaton scene simulation method, a terminal device and a storage medium. The method comprises the following steps of: S100, collecting an ecological environment data of a research area; S200, performing ecological environment evaluation according to the collected ecological environment data, and obtaining an ecological index as an ecological constraintfactor; S300, establishing an ecological constraint based on an ordered weighted average in the urban cellular automaton according to the ecological constraint factor; and S400, establishing a urban cellular automaton model based on a logistic regression according to the ecological constraint, so as to simulate a city space dynamic evolution process. The urban cellular automaton scene simulation method couples an urban model of a binary logistic regression, the ordered weighted average and the cellular automaton, which is beneficial to identify the region with the most contradiction and stressbetween the urban development and the ecological constraints and give a reasonable solution, and is also beneficial to find trade-offs between the development and the protection for urban managementdepartments.

The invention discloses a complex network important node sorting method based on closeness and structural holes. First, the closeness and network constraint coefficient of each node in the complex network are obtained, and then the node influence factor matrix is ​​established by using the closeness. The node influence factor On the basis of the matrix, combined with the network constraint coefficient in the structural hole theory, the structural hole influence matrix is ​​constructed. Finally, the importance calculation formula of the nodes is defined according to the structural hole influence matrix, and each node is sorted according to the calculated value. The present invention is based on the node importance value calculated by the compactness and structural holes, and the obtained node importance ranking can more accurately and effectively evaluate the importance of nodes, and can obtain ideal calculation efficiency and results for large-scale real complex networks.

The present invention provides a micro seismic data denoising method based on wavelet transformation. The method comprises the concrete steps of (1) carrying out the wavelet decomposition on the micro seismic data to obtain the finest scale of high frequency and low frequency wavelet coefficients; (2) ranking each scale of high frequency and low frequency wavelet coefficients again from large to small; (3) estimating the noise variance of the high frequency and low frequency wavelet coefficients at different scales, and calculating the mid-value and the minimum value in the new sequence; (4) calculating the threshold value of each scale of high frequency and low frequency wavelet coefficients according to constraint factors; (5) retaining various scales of coefficients greater than the absolute values of the threshold values, and calculating the new threshold values according to the step (4) for the coefficients less than the absolute values of the threshold values; (6) repeating the steps (2) to (5), and saving various scales of new high frequency and low frequency wavelet coefficients after processing; (7) obtaining the micro seismic data after denoising by the wavelet inverse transformation. The micro seismic data denoising method based on wavelet transformation of the present invention solves the problem that the micro seismic data is high in signal to noise ratio, and has the waveform distortion after denoising.

The invention discloses an energy efficiency optimization method based on a low-precision ADC large-scale MIMO system. For a low-precision ADC large-scale MIMO uplink adopting MRC receiving, the pilotfrequency length, the transmitting power and the quantization bit number are subjected to joint optimization; an energy efficiency optimization model is established by taking the pilot frequency length and the limitation of the highest transmitting power of a user side as constraint factors, an original fractal form optimization problem is converted into an equivalent reduction form according tothe property of fractional programming, and then the pilot frequency length, the transmitting power and the quantization bit number are optimized by adopting an alternating optimization algorithm.

The invention discloses a networked relational data query method based on hierarchical identification routing. The method comprises the steps that (1) hierarchical names of data entities are constructed in local relational databases; (2) the hierarchical names are converted into query groups formed by hierarchical routing factors and query constraint factors according to information to be queried by a user, and then the query groups are sent to a routing node connected with a client side; (3) the node matches and forwards all the received query groups; (4) information of the query groups is converted into an SQL supporting the local relational databases to carry out local query; (5) a local query result and the hierarchical routing factors of an original query request are packaged into data groups, and the data groups are sent back to interfaces of the corresponding query groups; (6) routing nodes cache and aggregate the received data groups and then send the data groups back along original paths. By means of the method, SQL query of all relational databases connected through an NDN can be achieved.

The invention provides a discriminant sparse preserving embedding method for unconstrained face recognition, 1) calculating a sample reconstruction relation matrix W, when calculating the sparse reconstructed relation of samples, the class label is introduced to construct the intra-class reconstructed relation matrix and inter-class reconstructed relation matrix respectively, and the intra-class and inter-class compactness constraint is added in the sparse reconstructed stage, which effectively increases the reconstructed relation between the samples to be tested and the same kind of samples,and weakens the reconstructed relation between the samples to be tested and the heterogeneous samples. 2) When calculating the low-dimensional projection matrix P and the low-dimensional projection matrix, the global constraint factor is added, which not only considers the local sparse relation of the sample, but also considers the global distribution characteristic, further weakens the disturbance of the heterogeneous pseudo-nearest neighbor sample to the low-dimensional projection, and more accurately excavates the essential structure of the low-dimensional manifold hidden in the complex redundant data; 3) The low-dimensional linear mapping of high-dimensional sample data is realized, which greatly improves the accuracy of face recognition in unconstrained environment.

The invention relates to a construction method of a shield and continuous cutting pile foundation for penetrating through a residential building group. The construction method comprises the following steps that the first step, house investigation and investigation of pipelines around houses are conducted; the second step, pile cutting construction numerical simulation is conducted; the third step, an automatic monitoring instrument is installed; the fourth step, pre-grouting reinforcement is conducted, wherein the reinforcement range includes buildings, the pipelines and planning tool changing points, and the reinforcement mode is a retrograde grouting mode; the fifth step, shutdown and inspection of a shield machine are conducted before pile cutting is conducted; the sixth step, pile cutting tunneling and pipe sheet splicing are conducted; the seventh step, grout supplement and emergent reinforcement are conducted. According to the construction method, pile cutting and penetration can be directly conducted without the operation that the existing buildings are demolished, the idea of energy conservation and environmental protection is met, the investment cost can be substantially reduced, the negative influence caused by demolition is reduced, and the number of the constraint factors of metro line selection is reduced; in addition, shield construction parameters and grouting parameters can be guided according to data which are fed back in real time through automatic monitoring, a comprehensive dynamic construction management system is implemented, the engineering risk is controllable, and the construction cost can be substantially reduced.

The invention discloses a cross-domain cooperative resource allocation method for an optical fiber wireless convergence network. The method comprises the following steps of: dividing the network intoa plurality of branch network regions according to a proximity principle and a whole network approximate average principle; through a load-transferred ONU and wireless node cooperative region resourceredistribution mechanism, redistributing routes for influenced service requests of a dormant region according to service priorities, and selecting a maximum weight path as a current forwarding path of the service request and a source node MAP thereof based on constraint factors; an energy consumption model of a whole network is established through calculation of on-off energy consumption EONU ofONU equipment of an optical network unit, on-off energy consumption EMAP of MAP equipment of a wireless node and forwarding energy consumption Etrans of a service request, and then network service maximization earnings are obtained in combination with a network service earning model. According to the technical scheme provided by the invention, the ONU subjected to load transfer and the wireless node cooperatively sleep, and the route is redistributed according to the priority; and the service quality of the high-priority service is ensured on the basis of maximally reducing the network energyconsumption.

The invention belongs to the technical field of low-voltage apparatuses, and relates to an electromagnetic trip device and a breaker with the electromagnetic trip device. The electromagnetic trip device comprises a magnetic yoke, a movable iron core and a counter-force spring. The movable iron core is arranged on the magnetic yoke, the upper end of the movable iron core extends out of the magnetic yoke, and the counter-force spring is arranged on the movable iron core in a sleeving mode. The electromagnetic trip device is characterized by further comprising a permanent magnet used for providing magnetic flux flowing through a magnetic path and generating electromagnetic attraction force to the movable iron core, the permanent magnet is arranged on the magnet yoke, the lower end of the movable iron core corresponds to the permanent magnet, the upper end of the counter-force spring is borne by the movable iron core, the lower end of the counter-force spring is borne by the permanent magnet, and when the large current flows through an external current loop, the movable iron core is trigged to act. The current carrying row of a main loop or the constraint factor of the current-carrying coil section is eliminated; the size is reduced, the installing space is saved, the electromagnetic trip device can be completely isolated from the main loop, the safety coefficient is increased, installing is flexible and convenient, and the electromagnetic trip device can be installed at reasonable positions of the breaker; copper product resources can be saved, and the resistance value and the power consumption of the breaker can also be obviously reduced.

The present invention discloses an automatic PN programming method in a CDMA network. The method comprises the steps of setting PN programming area, setting sectors participating in the PN programming and the parameters, constraint factors, conditions and programming mode thereof, and PN programming iteration number threshold value; iterating the PN programming according to the setting, calculating to obtain the pilot frequency intensity and the path time delay from each grid to each sector participating in the PN programming in the programming area; calculating to obtain all the PN distribution priorities to be distributed and distributing the PN with the highest priority to the station or sector with the highest priority; calculating to obtain the maximum interference power coefficient, judging that if PN interference occurs after the PN distribution, and outputting PN programming result, calculating and outputting PN distribution quality if PN interference occurs; if no PN interference occurs, comparing the PN programming number with the set threshold value, and if the PN programming iteration is smaller than the set threshold value, increasing the minimum same PN multiplex threshold distance, or else, outputting PN programming result, calculating and outputting PN distribution quality. According to the present invention, reasonable automatic PN programming in a network is realized.

The invention provides a planet type hybrid electric vehicle parking charging control method. According to the planet type hybrid electric vehicle parking charging control method, the active control of a driver over the power battery charging power can be realized, meanwhile, a brake is controlled by a VCU control brake to ensure the safe parking when power generation is carried out, and a varietyof measures are adopted to avoid the possible safety problems caused by abnormal charging. The planet type hybrid electric vehicle parking charging control method comprises the steps that (1) parkingcharging condition judgment is carried out, specifically, whether parking charging conditions are met or not is judged according to a vehicle state and a driver input signal; (2) maximum allowable power generation power calculation is carried out, specifically, the maximum allowable power generation power of a system is calculated and obtained according to constraint factors of the dynamical system; (3) charging control is carried out, and the charging control comprises braking force control, power generation power analysis and control over an engine and motors; and (4) abnormal charging treatment is carried out, specifically, unusual conditions appear in the charging process are subjected to corresponding safe treatment.

The invention provides a multi-control reservoir prediction method used for improving the prediction accuracy of a complex clastic rock reservoir, and belongs to the field of geophysical reservoir prediction. The method comprises the steps that (1) according to a geological research result, reservoir forming combination modes are acquired, and then constraint factors are acquired according to the reservoir forming combination modes, wherein the reservoir forming combination modes comprise a lower-growth upper-storage type combination mode and an upper-growth lower-storage type combination mode, and the constraint factors comprise a well point constraint factor Fw and a space constraint factor Fs; and (2) reservoir prediction under the control of the space constraint factor is carried out. According to the step (2), constraint is carried out on a seismic attribute result by using the space constraint factor Fs acquired by the step (1), so as to acquire a rich gas reservoir prediction result under multi-control constraint; specifically, the formula that Ag is equal to A*Fs is used to carry out prediction; Ag is the rich gas reservoir prediction result under the multi-control constraint; and A is a seismic attribute value. According to the invention, the accuracy of reservoir prediction is greatly improved.

A log end surface image partitioning algorithm for improving an active contour model based on circle constraint comprises the following steps: initializing a contour line level set phi (x, y, t=0)=0, using an improved active contour model to control an evolution level set function, so as to complete precutting to log end surface images, then craking a single level set phi corresponding to the a pre-cut profile curve into n level set functions <phi>i (i=1,..., n, and n refers to a to-be-cut target number), using the <phi>i as an initial contour line, initializing into a signed distance function again, setting a proper circle constraint factor Tau, then using the improved active contour model based on circle constraint to divide the level set again so as to obtain a final log end surface contour line, and finishing cutting. The method provided by the invention has the advantages of an improved CV model and an LIF model at the same time, can effectively avoid image non-goal region and noise interferences through the combination of image overall and local information, the calculating is simple, the speed is fast, and the cutting effect on the log end surface is good. Great significance to accurate measuring and processing of the log end surface is achieved.

The invention discloses a design method of a cylindrical radial uniform magnetic field coil, which comprises the following steps of: firstly, equally dividing the surface of the coil along the axial direction according to the azimuth angle of a cylindrical coordinate system, determining the surface current density expression on one side, and determining that the current density distribution on theother side is completely the same as that on the other side but opposite in current direction; secondly, deducing a magnetic field expression of a target field point, selecting the curvature of the current density as a penalty function of a constraint coil, setting a constraint factor of the penalty function, and solving a value of an undetermined coefficient in the current density expression byutilizing a regularization method to obtain a current density distribution condition of the cylindrical surface; and finally, obtaining an actual current routing shape of the cylindrical radial uniform magnetic field coil by using a flow function. The method serves as an inverse method of coil design, the size of the cylindrical coil is limited in advance, the coordinate position of a target fieldpoint is selected, then actual current distribution of the coil is obtained through calculation, the length-diameter ratio of the cylindrical coil is effectively controlled, and a gap can be reservedin the center of the coil to form a light through hole.

The invention discloses a regional power grid wind power acceptance capability evaluation method, and relates to the technical field of power system scheduling automation. According to the regional power grid wind power acceptance capability evaluation method, a constraint factor method and a digital simulation method are combined, the allowable wind power acceptance capacities of a regional powergrid are evaluated from two aspects of peak shaving constraint and static safety constraint respectively, and the small value in the two is selected as the largest total wind power capacity allowed to be accepted by a region; finally, verification is carried out by utilizing transient simulation, and the maximum wind power acceptance capacity of the power grid in the whole region is obtained. Theinfluence of wind power access to the voltage of a substation bus is considered, the influence of wind power access to the regional power grid is reflected more truly, and the evaluation precision ofthe wind power acceptance capability of the regional power grid is improved.

The invention discloses an extraction method for an image road surface region. The method comprises the following steps of inputting an original image and obtaining coarse estimation transmittance of each pixel in the original image to obtain a coarse estimation transmittance image; carrying out guided filter optimization on the coarse estimation transmittance image to obtain a guided filter image with an edge-preserving effect; correcting the coarse estimation transmittance image; and obtaining a differential chart through a differential operation and converting to a binary image, and realizing extraction of the road surface region after carrying out region segmentation on the binary image. The method has simple algorithm and higher efficiency, row coordinates and brightness are taken as constraint factors, so that the influence of other dark regions is reduced, the road surface region in the differential chart is guaranteed to have obvious brightness and be easily divided, and the road surface region can be quickly and accurately extracted under the condition that the road edge is not obvious.

The invention discloses a novel dry coal powder entrained-flow bed deslagging system for cooling, pelletizing and discharging liquid slag flowing out from a slag outlet. The system comprises a slag collector, a slag locking funnel and a slag dehydrating tank, wherein the slag locking funnel is arranged at a slag collector outlet and is connected with a pressure circulation pump; the slag dehydrating tank is arranged at a slag locking funnel outlet and is provided with a chain slag fishing machine; the slag collector is used for collecting slag generated inside a slag tank and a slag crushing machine; a first double-valve group consisting of a first valve and a second valve is arranged on a connecting pipeline of the slag collector and the slag locking funnel; a second double-valve group consisting of a third valve and a fourth valve is arranged on a connecting pipeline of the slag locking funnel and the slag dehydrating tank; and the connecting pipeline of the slag locking funnel and the slag dehydrating tank is connected with a high pressure water inlet tube with a high pressure washing partitioning valve. The system has the characteristics of security, simplicity and convenience in operation, effective blocked slag removal of a locking funnel system, and the like, and a constraint factor of long-term stable operation of a gasification device is eliminated.

The invention provides a semiconductor production constraint control method. The provided method is applied in a manufacturing execution system, constraint examples and corresponding constraint exceptions are added in a constraint detection module in the manufacturing execution system, each constraint example comprises a plurality of constraint factors, the constraint factors can be combined at will, and therefore a required constraint example is obtained. Thus the extendibility is strong, constraint types are free from specific constraint types, modification or updating of an on-line manufacturing execution system is not needed, and system performances are good.

The invention discloses a community division method, which comprises the following steps that: receiving the information of multiple uses to be divided, and establishing a topological structure diagram according to the information of multiple uses to be divided; calculating the degree of each node in the topological structure diagram, taking the node with a highest degree in the topological structure diagram as a seed node, and obtaining the neighbor node of the seed node; according to the neighborhood attribute of each neighbor node, calculating the input vigor proportion of the seed node for each neighbor node; according to the input vigor proportion of the seed node for each neighbor node, through a grid constraint algorithm of a structural hole, obtaining the constraint factor of the seed node for each neighbor node; and dividing the neighbor node of which the constraint factor is greater than a preset relationship threshold value and the seed node into the same association, and deleting the neighbor node of which the constraint factor is greater than the preset relationship threshold value and the seed node from the topological structure diagram to improve community division quality.

The invention belongs to the technical field of low-voltage apparatuses, and relates to an electromagnetic trip device and a breaker with the electromagnetic trip device. The electromagnetic trip device comprises a magnetic yoke, a movable iron core and a counter-force spring. The movable iron core is arranged on the magnetic yoke, the upper end of the movable iron core extends out of the magnetic yoke, and the counter-force spring is arranged on the movable iron core in a sleeving mode. The electromagnetic trip device is characterized by further comprising a permanent magnet used for providing magnetic flux flowing through a magnetic path and generating electromagnetic attraction force to the movable iron core, the permanent magnet is arranged on the magnet yoke, the lower end of the movable iron core corresponds to the permanent magnet, the upper end of the counter-force spring is borne by the movable iron core, the lower end of the counter-force spring is borne by the permanent magnet, and when the large current flows through an external current loop, the movable iron core is trigged to act. The current carrying row of a main loop or the constraint factor of the current-carrying coil section is eliminated; the size is reduced, the installing space is saved, the electromagnetic trip device can be completely isolated from the main loop, the safety coefficient is increased, installing is flexible and convenient, and the electromagnetic trip device can be installed at reasonable positions of the breaker; copper product resources can be saved, and the resistance value and the power consumption of the breaker can also be obviously reduced.

The embodiment of the invention discloses a noise suppression method and a device for seismic data. The method is used for subjecting the time-space domain-based seismic data to Fourier transformationto obtain frequency and space domain-based seismic data, wherein the frequency and space domain-based seismic data contain a plurality of single-frequency seismic data which are arranged according tothe frequency size thereof. The method comprises the following steps of acquiring a constraint factor corresponding to current single-frequency seismic data, wherein the constraint factor is obtainedby carrying out the noise suppression on target single-frequency seismic data, the target single-frequency seismic data is adjacent to the current single-frequency seismic data, and the frequency ofthe target single-frequency seismic data is smaller than that of the current single-frequency seismic data; carrying out noise suppression on the current single-frequency seismic data by utilizing theconstraint factor, so as to obtain the current single-frequency seismic data after noise suppression; based on the single-frequency seismic data after noise suppression, determining time-space domain-based seismic data after noise suppression. In this way, random noise data in the seismic data can be effectively compressed.