147results about How to "Relieve dealing with stress" patented technology

The invention relates to a washing process for a denim garment. The washing process comprises the following steps: performing bio-enzyme de-sizing treatment in an amylase solution after performing denim garment fabric pre-treatment; performing enzyme washing by neutral enzyme powder; dehydrating and drying after cleaning with clean water; performing monkey wash on the fabric surface; performing neutralization treatment on the fabric which is subjected to monkey wash; adding a softening agent to perform softening treatment on the fabric; cooling the denim garment fabric to room temperature after dehydrating and drying, thereby completing washing on the denim garment. Compared with the prior art, the washing process has the advantages of quickly removing residual manganese ions, shortening the processing time, removing the color of a bleaching liquid, reducing the cleaning frequency, being low in sewage COD (chemical oxygen demand), and the like.

The invention relates to a data processing technology, in particular to a data synchronization method and system. The method comprises the steps that a service server pushes to-be-synchronized data toa queue server; The queue server determines a queue identifier corresponding to the to-be-synchronized data; The queue server caches the to-be-synchronized data into a data cache queue correspondingto the queue identifier; The consumption server sends a data synchronization request to the queue server; Wherein the data synchronization request carries a queue identifier; And the queue server responds to the data synchronization request and feeds back to-be-synchronized data in the data cache queue corresponding to the queue identifier. By adopting the method, the flexibility of data synchronization can be improved.

The invention discloses a rainwater collecting and recycling system for an urban green land and a plaza; the rainwater collecting and recycling system comprises the green land, roads around the green land and the plaza; the green land is of a sunken structure which is lower than the roads and the plaza; the plaza is of a dome structure which is slightly lower at four sides; and the roads are of arched structures which are higher at the middle and slightly lower at two sides; rainwater on the roads and the plaza enters a water collecting well which is connected with a covered filtering channel; the water drain end of the covered filtering channel is connected with an underground impounding reservoir; a concrete cover plate layer is arranged at the upper part of the impounding reservoir; the green land is arranged at the upper part of the concrete cover plate layer; a water pump is arranged in the underground impounding reservoir; and the water outlet of the water pump is connected with a green land irrigation spray head. The rainwater collecting and recycling system for the urban green land and the plaza relieves the pressures on sewage disposal, municipal water supplying and shortage of urban water sources, realizes rainwater recovery and gives full play to the ideas of energy conservation, emission reduction and sustainable development.

The multicast method adopted for the equipment and system provided in instance of the invention is as following: data are divided into data slots at source node SN, each data slot is packaged and identified, which is sent to all destination nodes DN directly through multicast mode; after receiving data slots, DN replies acknowledge information with ID of data slot to middle node MN; when finding that all affiliated DN reply acknowledge information, MN sends uniform acknowledge information with ID of data slots to SN. Under large numbers of inner nodes of network device, hierarchical acknowledge meets requirement of data multicast so as to raise expandability of node of whole network device.

The invention belongs to the technical field of sparse signal restoration, and particularly relates to a low-complexity massive sparse signal reconstruction method in signal receiving on the basis of generalized approximate message passing (GAMP). The low-complexity massive sparse signal reconstruction method includes the following steps that a receiving signal y=A*x is obtained through compressed sensing and sampling, initialization is carried out, loop iteration is conducted, and restored signals are input. Compared with a traditional restoration algorithm based on Bayes, a generalized approximate message passing method is used. The low-complexity massive sparse signal reconstruction method can effectively reduce computation complexity on the basis of keeping signal superior reconstruction performance. Computation time complexity is reduced from O(n3) to O(mn), namely cube complexity is reduced to linear time complexity, and signal processing pressure of the rear end is greatly reduced, wherein m and n refer to the dimension of an observed value and the dimension of original signals.

The invention provides a node equipment state detection method and a node equipment state detection device. The method and the device are applied to an equipment cluster which is pre-divided into one or more circular test groups with the same master node. The method comprises the following steps: a master node sends a test message carrying an identity list of all nodes to first slave node equipment; if the first slave node responds to the message normally, the first slave node is self-marked as 'test passed' in the identity list and forwards the message to a second slave node; if the second slave node responds to the message normally, the second slave node is self-marked as 'test passed' in the identity list and continues to forward the message until the message is forwarded to the master node; if the second slave node cannot respond to the message normally, the first slave node marks the second slave node as 'test failed' in the identity list and reports the message to the master node; and the master node determines the state of each node in a test group based on the received test message. Through the method and the device, the processing pressure on the master node equipment can be alleviated.

The invention mainly discloses a surface water recycling system for a sponge city. The surface water recycling system comprises a pure water storage system, a sewage treatment system and a water flow control system, wherein the pure water storage system comprises a first water well, a second water well and a circulation well which are connected with one another; the sewage treatment system comprises a first sewage treatment device located in the first water well and a second sewage treatment device located in the second water well. The surface water recycling system can realize effective percolation, treatment and collection of surface water, improves the water quality and facilitates surface water recycling. A construction method of the surface water recycling system comprises steps of ground treatment, foundation pit treatment, building of the water wells, installation of the sewage treatment system, building of the circulation well, laying of filtering plates, laying of internal pipes, laying of water guide pipes and ground surface treatment. The construction method is reasonable in design and adopts simple and reliable construction steps, the construction steps are joined and arranged properly, accumulated water can be guided effectively to infiltrate to underground, and the effect of sufficiently recovering rainwater and surface water is realized.

The invention provides an edge computing system and method based on a neural network. The edge computing system comprises a data acquisition node, a cloud platform, an edge computing node and a data center server, the data acquisition node, the edge computing node and the data center server are respectively connected with the cloud platform; the data acquisition node is used for acquiring data information and sending the data information to the edge computing node through the cloud platform; the edge computing node is used for inputting the data information into a neural network algorithm to obtain a data processing result and sending the data processing result to the cloud platform; and the cloud platform is used for sending the data processing result to the data center server or the userterminal, processing the data information through the edge computing node and then sending the data information to the data center server through the cloud platform, so that the processing pressure of the data center server is relieved, and the data processing efficiency is improved.

The invention discloses a log analysis method and system. The method comprises the steps of collecting log data generated by application systems in real time and caching the log data in a data cache server; obtaining the log data in real time according to a caching sequence by utilizing a Storm system through a data processing server, putting the log data into preset batch processing containers, when a preset processing condition is met, performing analysis processing on logs in the batch processing containers, and adding the batch processing containers loaded with analysis processing resultsto an index queue; and when the index queue is non empty, extracting the batch processing containers from the index queue in sequence in real time by the Storm system, storing the log data in the extracted batch processing containers, and creating corresponding data indexes. By adopting the method and the system, large-scale log data can be processed in real time.

The invention belongs to the field of metal testing analysis technology in a metallurgical industry, and particularly relates to a method for simultaneously measuring multiple metal elements in zinc smelting acid leaching residue through inductively coupled plasma atomic emission spectroscopy, wherein measurement is performed according to the detecting principle of the inductively coupled plasma atomic emission spectroscopy. The method comprises the steps of determining an experiment condition, preparing single-element standard solution, preparing mixed standard solution, preparing series standard working solution A, preparing series standard working solution B, performing sample processing, drawing a working curve, checking coexisting element interference, checking an overlimit conditionand a precision condition, performing a recovery rate experiment and checking a stability condition. The method of the invention can simultaneously detect multiple elements in zinc smelting acid leaching residue and realizes high detecting result precision and high stability in an instrument detecting process. The method of the invention can effectively reduce pressure in enterprise detecting andresidue processing. Not only is an important meaning realized, but also high necessarity is obtained.

The application provides a method and device for controlling a resource preallocation quota. The method comprises the following steps: receiving update messages sent by a service platform for a preallocation quota of a target resource, and caching the received update messages to a preset message queue; separately inserting the update messages cached in the message queue into multiple preset data sub-tables; and periodically reading a preset number of update messages from the multiple data sub-tables in batches to perform batch processing, and updating the preallocation quota of the target resource. According to the method and device provided by the application, the processing pressure of a control platform of the preallocation quota can be alleviated when the number of preallocation tasks is large, and the processing performance of the control platform can be improved.

The invention provides a method for judging the vehicle damage degree through intelligent glasses in the vehicle maintenance process and belongs to the field of vehicle maintenance. The method is used for solving the technical problem of judging the vehicle damage degree through the intelligent glasses in the vehicle maintenance process. The method is technically characterized in that the vehicle damage degree can be judged through the intelligent glasses in the vehicle maintenance process. The method has the advantages that the loss assessment node depends on the intelligent glasses, and implementation of the loss assessment process is greatly facilitated.

The invention relates to a user interface display method and device, a computer device and a storage medium, wherein the method comprises the steps of obtaining the request information of a user for accessing a system, the request information comprising the attribute category of the user; determining an interface element corresponding to the attribute category of the user according to the requestinformation of the user; and displaying the interface elements according to a preset interface layout corresponding to the attribute category of the user. According to the application, by obtaining the request information of a user for accessing a system, and determining the interface elements corresponding to the attribute categories of the user according to the request information of the user,the interface elements are displayed according to the preset interface layout corresponding to the attribute categories of the user, different interfaces are displayed according to different user attribute categories, and further the processing pressure of the server is relieved.

The invention discloses a method for limiting transmission flow capacity of service provider interfaces and a multi-media service gateway. In the method, a multi-media service gateway is used for acquiring end-to-end success ratio corresponding to each service provider interface from an accounting system, judging whether the end-to-end success ratio of the multi-media service gateway is smaller than a threshold value and limiting the transmission flow capacity of the SP interface under the situation that the end-to-end success ratio is smaller than the threshold value. According to the technical scheme, the invention solves the problem of unconspicuous effect of relieving the treatment pressure of a MMSC by adopting the chain control or flow capacity control scheme in the relevant technology and can further relieving the treatment pressure of the MMSC.

The invention discloses an emission reduction and cyclic utilization method for agricultural tail water and rural domestic sewage. The emission reduction and cyclic utilization method comprises the following steps: 1) collecting eutrophic runoff tail water by utilizing a storage and blending tank and carrying out temporary storage and aeration; 2) discharging the tail water which exceeds the capacity into an ecological channel pond; 3) culturing photosynthetic bacteria by utilizing one part of the tail water and utilizing the photosynthetic bacteria to improve the water quality and a feed additive; 4) discharging domestic sewage into a subsurface flow wetland and treating the domestic sewage; 5) temporarily storing biogas slurry by utilizing the storage and blending tank. According to the emission reduction and cyclic utilization method disclosed by the invention, the agricultural tail water with high nutrients is selected and is cyclically utilized after being temporarily stored and treatment pressure of the ecological intercepting channel pond is alleviated; eutrophic agricultural wastewater is cyclically utilized to the greatest extent; in a non-agricultural tail water water-draining season, the disadvantages of a current rural domestic sewage treatment facility can be made up by utilizing a nitrogen and phosphorus intercepting facility and sufficient utilization can be realized; the emission reduction and cyclic utilization method has the advantages of investment saving, high efficiency and less manpower needed by management and protection; meanwhile, the problem that a previous sewage collection and treatment process has many intermediate links is also solved.

The invention relates to an image dehazing method. The method comprises the steps that A, whether dehazing processing is needed or not is judged according to the accumulated value obtained after all pixel values of dark channel graphs D of original images and the original images are subtracted respectively, if not, the original images are output and the process ends, and otherwise, step B is started; B, a global atmospheric light value is acquired according to the dark channel graphs D and the original images; C, dark channel graphs D2 of new images are calculated after each pixel of the original images is divided by the global atmospheric light value, and a white picture and the pixel values of the dark channel graphs D2 are subtracted respectively to obtain a transmittance graph T1; D, the transmittance graph T1 is refined through steerable filtering to obtain a transmission rate graph T2; E, dehazed images are output through a haze graph formation model. The image dehazing method can effectively improve the image dehazing effect, simplify the dehazing processing process, greatly shorten image processing time and effectively improve the image processing efficiency.

The invention discloses a big data marketing method based on mobile signaling. The big data marketing method is characterized by comprising the following steps: building an application type model base and an algorithm base, wherein the application type model base comprises application models of different application types; sampling input data, conducting principal component analysis (PCA) and keyword matching on the sampled data to determine the application type of the input data, and determine the corresponding application model of the input data according to the application type; carrying out data screening according to the application type of the input data; fragmenting the screened data, and conducting distributed saving on the fragmented data; determining that the application model corresponding to the application type of the input data does not exist in the application type model library according to the principal component analysis result; and conducting corresponding data transformation on the input data according to the format requirement, on the input data, of an obtained combined sorting algorithm. The big data marketing method can provide an accurate processing model for big data, and is universal to different application scenarios.

The invention discloses a continuous carbon fiber recovering method comprising the following steps: step S10, heating the lower end of a thermal cracking hearth by heated air or high temperature fluegas generated from cracking reaction, and preheating a first preheating tube and a second preheating tube; step S20, blowing a waste carbon fiber reinforced resin-based composite material into the thermal cracking hearth by the first preheating tube, and at the same time, blowing solid superacid particles into the thermal cracking hearth via the second preheating tube; and step S30, merging the waste carbon fiber reinforced resin-based composite material and the solid superacid particles in the thermal cracking hearth and carrying out contact reaction, separating generated organic gas with carbon fibers in a cyclone separator to recover the carbon fibers, allowing the organic gas to enter a high temperature burner through an induced draft fan, and burning. A solid superacid is used for replacing fluidized sand particles, and the feeding and preheating methods are improved, so that the resin matrix is uniformly heated and catalytically decomposed, and thus the carbon fiber resources arerecovered and reused.

The application discloses a silicon wafer cleaning method and cleaning device. The cleaning method comprises the following steps: (1) pouring citric acid and water into a constant-temperature soaking tank in a ratio of 3:100, and heating the mixture to 65+/-5 DEG C; (2) performing stirring till the citric acid is fully dissolved; and (3) performing soaking under a constant-temperature for 2-3 hours. The silicon wafer cleaning method and cleaning device have the advantages that (1) lost citric acid can be increased by over 70 percent, and repeated soaking is available; (2) the waste water treatment pressure of an enterprise is relieved; and (3) the production water supply is reduced, and water and citric acid blended in a certain ratio can be reused, so that the water usage is saved.

An embodiment of the invention discloses a task processing method, a task processing device and a computer readable storage medium. The task processing method comprises the steps of: determining at least one object processing task of a target image; determining a task type of each object processing task; determining a task level of each object processing task according to the task type; acquiringfirst load information of an image processing unit and second load information of a central processing unit; determining a target load ratio based on the first load information and the second load information; when the target load ratio is greater than a preset threshold, determining a task level range needing to be processed by the image processing unit according to a threshold interval in whichthe target load ratio is located; and allocating the object processing tasks with the task levels within the task level range to the image processing unit for processing, and allocating object tasks with the task levels not within the task level range to the central processing unit for processing. Therefore, the task processing efficiency can be improved.

The invention discloses a carrying vehicle loading capacity scheduling method based on a smart park, the method is applied to a carrying vehicle scheduling center cloud platform, and the method comprises the following steps: S1, carrying out pickup vehicle information input before pickup of a carrying vehicle; S2, enabling a brake system to autonomously recognize a license plate to complete the entrance and exit of the vehicle; S3, determining a driving path network of the current park based on the planned driving path of the carrier vehicle in the current park; S4, displaying the vehicle information and the loading capacity by the information interaction terminal; and S5, detecting the wheels by using the electronic scale monitor, immediately displaying a weighing result to a driver, and printing a voucher by using the information interaction terminal. According to the carrying vehicle loading capacity scheduling method based on the smart park and the central cloud platform, through system order allocation and time-phased reservation, congestion is reduced, scheduling is carried out in advance, the loading and unloading efficiency is improved, the scheduling management system is matched with cloud data to record data in real time, the information acquisition accuracy is improved, and the labor cost is greatly reduced.

The invention provides an ultra dense network transmission method, a base station, user equipment (UE) and a network element. The method comprises the steps of monitoring and receiving the information of an available data cell reported by the user equipment; and if the information of the available data cell meets a preset data cell change condition, generating a cell change message, and sending the message to the corresponding network element. According to the method, the base station, the user equipment and the network element provided by the invention, the problem that a user speed is decreased and delay is increased caused by frequent switching of an ultra dense network can be solved, the signaling processing pressure of base station equipment is relieved, and the design cost of the base station is reduced.