39results about How to "Precise deployment" patented technology

The invention discloses a tunnel segmented exhaust method and system based on train working conditions, a medium and a product, and relates to the technical field of ventilation. The method comprises the steps that a target tunnel is divided into a plurality of control sections according to fan installation configuration of the target tunnel; acquiring train passing data and train configuration information of the control section, and calculating a flue gas growth value of the control section in a preset time period; collecting flue gas concentration data of the control section, and calculating a ventilation demand index of the control section in combination with the flue gas growth value; collecting wind direction parameters of the control sections, determining a ventilation control relationship between the adjacent control sections based on the ventilation demand indexes and the wind direction parameters, and generating a ventilation cooperation scheme; according to the ventilation cooperation scheme, operation parameters of the tunnel fans in all the control sections are calculated, and control instructions corresponding to the operation parameters are sent to the tunnel fans. By implementing the application, the fan operation can be adjusted according to the actual train operation condition, and the ventilation effect is optimized.

The invention relates to the technical field of intelligent monitoring, in particular to a large-scene multi-target on-site holographic intelligent monitoring comprehensive management system, which comprises a device determination module, a plurality of initial monitoring devices and a control module, the model construction module obtains and analyzes a plurality of initial monitoring video data, and constructs an initial monitoring model; the grade determination module determines an initial number of preset monitoring targets and determines an initial importance grade; the anomaly recognition module determines an initial monitoring frequency, performs monitoring based on the initial monitoring frequency, and recognizes an initial anomaly event based on an initial monitoring result; the degree analysis module analyzes the initial abnormal event and gives an alarm based on the comparison result of the initial severity, or adjusts the initial monitoring frequency, monitors the sub-region corresponding to the abnormal event in real time based on the adjusted monitoring frequency, analyzes the real-time monitoring result, gives an alarm based on the analysis result, or continues monitoring. According to the invention, the comprehensive accuracy of monitoring is improved.

The invention relates to a virtual machine deployment method and device, computer equipment, a readable storage medium and a program product. The method comprises the following steps: acquiring first physical machine resource information of a plurality of physical machines in a future time period when virtual machines are not deployed, and virtual machine resource information of a plurality of virtual machines in the future time period when the virtual machines are not deployed to the physical machines; predicting second physical machine resource information of the plurality of physical machines in a future time period under the condition that the plurality of virtual machines are deployed on the plurality of physical machines based on the virtual machine deployment information; according to the second physical machine resource information of the plurality of physical machines in the future time period, environment resource evaluation information of the cloud computing environment is detected; based on deployment strategy reward information generated by the environment resource evaluation information, performing iterative updating on the virtual machine deployment information to obtain target virtual machine deployment information; and deploying the plurality of virtual machines to the plurality of physical machines according to the target virtual machine deployment information. By adopting the method, the virtual machine can be accurately deployed.

The invention discloses a smart campus resource allocation management method and system based on big data, and belongs to the technical field of smart campus management. Receiving a reservation demand instruction of a user through a reservation medium, and uploading the reservation demand instruction to a resource data center to form a temporary resource data cluster; sorting the temporary resource data clusters according to a to-be-executed time sequence of the reservation demand instructions, setting an instruction sliding window, grouping the reservation demand instructions according to a scale value (namely the number of personnel of a user demand project) of the instruction sliding window in a sliding grouping manner, and performing first optimization of resource allocation; and after the first optimization, generating a secondary to-be-optimized object set, and performing secondary to-be-optimized executable evaluation by evaluating the executable degree of the reservation demand instruction fused into the secondary to-be-optimized object set, so as to complete the optimization process of resource allocation. In order to improve the quality of campus life, the resource allocation can be efficiently and accurately carried out according to the user demand, and the resource utilization rate and the user satisfaction are improved.

The invention discloses a component optimization method for preparing a liquid fertilizer from acetylisovaleryltylosin tartrate waste liquid, and relates to the technical field of fertilizer preparation, and the component optimization method comprises the following specific steps: step 1, selecting nanoscale activated carbon with the specific surface area of 1000m < 2 > / g-1500m < 2 > / g as a base material, the method has the advantages that a microbial flora system is constructed by screening out pseudomonas bacteria, actinomycetes and bacillus, and the pseudomonas bacteria can effectively decompose complex organic pollutants in the waste liquid by virtue of the mineralization effect of the pseudomonas bacteria and gradually convert the complex organic pollutants into carbon dioxide, water and simple organic acid, so that the primary purification of the waste liquid is realized; actinomycetes can utilize secreted enzymes to convert acetylisovaleryltylosin tartrate into small molecule compounds containing nitrogen, phosphorus, potassium and other nutrient elements, bacillus further promotes synthesis and stability of the nutrient small molecules, it is ensured that the liquid fertilizer is comprehensive in nutrient and accurate in content, the plant growth requirement can be better met, and the liquid fertilizer has a good application prospect. The resource utilization rate of the acetylisovaleryltylosin tartrate waste liquid is greatly improved.

The invention provides a sewage treatment device for preparation of a pyrrole triazine photoelectric material intermediate, and relates to the technical field of water treatment.The sewage treatment device comprises a regulating reservoir, and a plurality of classification treatment cavities are formed in the regulating reservoir. Due to the fact that waste water generated in different steps is different in component and pollutant characteristic, the waste water generated in different steps is fed by arranging a plurality of classification treatment cavities, a worker can accurately blend treatment chemicals and set treatment process parameters according to the characteristic of the waste water in each isolation area, and the treatment efficiency is improved. For example, in an isolation area with high heavy metal ion content, a high-efficiency chelating agent is pointedly added for precipitation treatment, so that blindness of medicament use and inadaptability of a treatment process during unified treatment are avoided, the treatment precision and effectiveness are greatly improved, and the treatment efficiency is further improved.

The invention discloses an IRS-assisted active node deployment and channel estimation method for a communication-inductance integrated system, and belongs to the technical field of wireless communication. The method comprises the following steps: establishing a channel model based on the antenna array response and channel characteristics of the IRS-assisted communication and inductance integrated system; an active node is arranged on the surface of the IRS in the IRS-assisted communication-inductance integrated system to collect and observe a channel value of a channel model, and an IRS receiving signal model after a base station sends a pilot frequency to the IRS is established based on the channel value; establishing a channel graph topological structure matrix; the channel graph topological structure matrix is subjected to graph segmentation based on spectral clustering clustering, the most smooth node of each cluster is selected for sampling, and deployment of active nodes is carried out; and introducing graph smoothing constraint according to the local smoothing characteristic of the channel graph topological structure matrix, obtaining a linear objective function based on atomic norm minimization, solving to obtain a channel estimation result, and completing channel estimation. According to the method, the accuracy and the stability of channel estimation in different scenes can be ensured.

The invention provides a mobile office method and system applied to river and lake secret visit, and relates to the field of water resource management and environmental protection, and the method comprises the steps: after a new problem clue is received, carrying out the severity grade classification and influence range grade classification of the problem clue through an intelligent algorithm, and obtaining a classification result; according to the position information corresponding to the problem clues and the classification result, determining a priority order of the problem clues in a patrol queue; in the process that the worker carries out evidence collection according to the priority ranking, obtaining field evidence data corresponding to each problem clue through mobile equipment carried by the worker; and generating an investigation report according to the investigation template corresponding to the problem clue and the field evidence data. By implementing the method, intelligent allocation and mobile office of problem clues are realized, so that resource allocation is optimized, and response time delay of report generation is reduced.

The invention relates to the technical field of color matching devices, in particular to an intelligent color matching device. Which comprises a spraying gun body, the spraying gun body drives a pressurizing valve through a trigger, and a conical spraying head is arranged at the output end of the spraying gun body, and is characterized in that a containing cylinder is connected to the bottom end of the spraying gun body in a fastened mode, and a plurality of coating storage tanks are connected into the containing cylinder in a fastened and clamped mode; the multiple coating storage tanks are communicated with a break-through type multi-way electromagnetic valve through multiple independent coating channels, the top end of the break-through type multi-way electromagnetic valve is communicated with a conical spray head through a Y-shaped discharging hose, the other end of the Y-shaped discharging hose is communicated with the output end of a pressurizing valve, and color recognition sensors are arranged on the two sides of the conical spray head. The invention aims to solve the technical problems that the color precision and stability are poor, and the required color ratio cannot be quickly and accurately prepared.

This invention provides a digital resource scheduling and management method and system for urban transportation, relating to the field of urban traffic management technology. First, it constructs a traffic carbon emission flow set integrating carbon emissions from fixed monitoring points, mobile transportation vehicles, and traffic operation status information. Based on the spatiotemporal distribution characteristics of the traffic carbon emission flow set, it generates a digital resource scheduling field containing digital resource distribution and scheduling potential energy information. It then establishes a field coupling relationship between the traffic carbon emission flow set and the digital resource scheduling field, generating a digital resource scheduling instruction set. This set of instructions is transmitted to a digital resource scheduling execution terminal, driving digital resource scheduling actions and generating a digital resource scheduling execution trajectory information set. Based on the digital resource scheduling execution trajectory information set, it adjusts the field parameters of the digital resource scheduling field, generating an optimized digital resource scheduling field scheme. This invention comprehensively considers traffic carbon emissions, achieving efficient digital resource scheduling.

The invention discloses an erosive wear device suitable for a servo valve and a test method, which are used for solving the problems that a plunger pump is not resistant to pollution, a gear pump is difficult to supply high pressure, and the multi-factor synergistic effect cannot be investigated in the existing test. The device comprises a polluted oil source, a clean oil source, a pressurization system and a tested piece system. Wherein the polluted oil source adopts a gear pump to supply oil, and is provided with a stirrer, a heater and a pollution degree detector; the pressurization system comprises a double-acting pressurization cylinder, a servo valve and an energy accumulator and can output high-pressure stable oil liquid. The clean oil source is used for driving pressurization and adjusting the pollution degree of the main oil way. During testing, a high-pressure mode and a low-pressure mode are switched through the three-way ball valve, and temperature and pollution degree adjustment is integrated. According to the invention, high-pressure and high-pollution-degree test oil liquid can be provided, and collaborative research of multiple factors such as pressure, temperature and pollution degree is supported, so that the test period is remarkably shortened.

The present invention discloses a smart management system for building energy consumption applied to public institutions, relates to the technical field of energy management, and improves the accuracy of energy management for public institutions. The present invention obtains the normal use time and normal use section of each power device according to historical operation records and historical equipment operation event records, and obtains the normal total power change curve of each energy detection area according to the historical area operation event record, and sets a pre-stored allocation power for each energy detection area according to the normal total power change curve of each energy detection area, and then obtains the current operation status of each power device in each energy detection area at the beginning of each time section, and obtains the estimated power usage of the corresponding energy detection area according to the normal use time and normal use section of each power device, and adjusts the numerical value of the pre-stored allocation power by comparing the pre-stored allocation power with the estimated power usage.

The invention relates to the technical field of remote control, in particular to a remote control method and device based on a low-power-consumption Hall sensor. The method comprises the following steps: acquiring remote control equipment type data; performing Hall sensor deployment based on the remote control equipment type data to generate Hall sensor deployment data; performing sensor working magnetic field direction calibration on the Hall sensor deployment data to generate Hall sensor deployment correction data; performing real-time signal acquisition on the Hall sensor deployment correction data to obtain a standard remote control equipment magnetic field detection signal; performing lightweight signal decoding on the standard remote control equipment magnetic field detection signal to generate remote control equipment lightweight decoding data; and performing remote control mode identification on the remote control equipment lightweight decoding data to generate remote control intention data. By optimizing Hall sensor deployment, signal decoding, response delay and multi-device cooperative control, the precision and efficiency of remote control are improved.

The embodiment of the invention provides an agent deployment method and device, and the method is applied to a configuration center, and comprises the steps: receiving registration information sent when an atomic power service and an application service are started; receiving service dependency information sent by the application service; constructing a service dependency relationship graph according to the service dependency information, and determining configuration dependency coverage according to the service dependency relationship graph, the service access address and the service configuration information; and when it is determined that the configuration dependency coverage meets a preset coverage threshold, determining that deployment of the target agent is completed. According to the method, full-process automation from parameter configuration to state verification is achieved, the operation and maintenance threshold is remarkably reduced while efficient and accurate agent deployment is guaranteed, and technical support is provided for intelligent transformation of enterprises.

The invention relates to the technical field of railway wireless communication systems, and discloses a railway tunnel wireless coverage system and method based on the relay technology, and the railway tunnel wireless coverage method based on the relay technology comprises the following steps: obtaining train operation comprehensive information and train historical communication demand information; the train operation comprehensive information is constructed into ordered structure data, and the train historical communication demand information is constructed into time sequence data; and inputting the structure data and the time sequence data into the wireless optimization model, and outputting a railway tunnel wireless coverage optimization strategy. According to the invention, the signal intensity and stability in the railway tunnel can be improved, and the smooth wireless communication of the train during the tunnel operation can be ensured.

The invention relates to a sewage sampling method, a sewage blending method, a sewage blending device and a concrete mixing plant, the sewage sampling method comprises the following steps: setting a water scale, and carrying out cleaning, feeding, overflow stable weighing, discharging and cleaning operations to realize sewage sampling and calculate accurate sewage sampling concentration; according to the blending method, the sewage sampling method is adopted to sample sewage in the sewage tank and the blending tank to calculate the sewage concentration, the sewage filling time and the clear water filling time are calculated according to the target sewage concentration, and the purpose of accurately and automatically blending the required sewage concentration is achieved. The blending device is provided with a water scale and adopts the blending method to obtain sewage with stable concentration; the concrete mixing plant is provided with the blending device, so that the concentration of sewage for production is kept stable and reliable for a long time. The problem that the sewage blending concentration of the blending tank is unstable is fundamentally solved, and the production requirement of a concrete mixing plant is met.

The invention discloses an Internet of Things data interaction method and system based on data collection, relates to the technical field of Internet of Things, solves the problem that computing power resources cannot be reasonably allocated or data interaction process processing is not comprehensive enough, and skillfully performs computing power scheduling by accurately positioning a load process and a lightweight process and taking 1Hash as a unit; according to the method, the conversion rate of the load process can be rapidly improved at present, a curve can be virtually drawn according to the early-stage scheduling effect, the total unit calculation power required subsequently can be prospectively calculated, calculation power resources are continuously and accurately allocated, it is ensured that the efficient data conversion rate of multiple data interaction processes is always kept, and the data conversion efficiency is improved. The whole Internet of Things system can realize optimal utilization of resources under different load conditions, the fluency and timeliness of data interaction are guaranteed, and powerful power is injected for large-scale application and deep development of the Internet of Things.

The application provides a global asset dynamic perception and intelligent management method and system based on fog computing, relates to the technical field of asset management, and comprises the following steps: collecting asset states and space parameters through a distributed perception unit, performing feature fusion and space correlation calculation, generating a state atlas, and generating a management instruction according to resource demand ordering, so that cross-regional collaborative management of assets in physically isolated regions can be realized, asset monitoring precision is improved, resource allocation efficiency is optimized, and management cost is reduced.

The present invention relates to the field of wireless communication technology, and in particular to a data transmission method and system suitable for 5G communication. The method comprises the following steps: acquiring and analyzing network communication data to obtain regional communication demand data; performing communication transmission resource allocation according to regional communication demand data to obtain communication transmission resource allocation data; performing network slice transmission resource allocation on the communication transmission resource allocation data to obtain network slice transmission resource allocation data; acquiring real-time network communication data and performing interference source impact node identification to obtain interference source impact node data; performing communication interference optimization on the network slice transmission resource allocation data according to the interference source impact node data, thereby obtaining network slice transmission optimization resource allocation data, and uploading it to the communication management platform to perform data transmission tasks. The present invention improves the management efficiency of network resources.

The application discloses a minimally invasive fixing device suitable for correction of a concealed penis, which is a non-surgical correction device, comprising a hollow puncture needle, a shrapnel assembly implantable into a human body and a medical suture; a shrapnel push rod capable of pushing the shrapnel assembly out of the puncture needle is arranged in the pipe body of the puncture needle; the shrapnel assembly is arranged in the puncture tip of the puncture needle in a curved shape and is automatically opened after being pushed out by the shrapnel push rod; one end of the medical suture is fixedly connected with the shrapnel assembly, and the other end is led out through the pipe body end of the puncture needle along the length direction of the puncture needle. The shrapnel assembly is bent and accommodated in the puncture tip of the puncture needle, the shrapnel push rod is used for pushing the shrapnel assembly out and automatically opening, and the rapid implantation and anchoring operation under a single puncture path are realized. The conventional general anesthesia correction operation can be replaced, no incision under local anesthesia, rapid correction are realized, and a non-surgical method for the concealed penis is realized, which is local anesthesia, super micro-invasive, rapid correction and safer.

The present application relates to a kind of method and related products for automatically adjusting the number of working pump in pump station, the method includes obtaining the loading efficiency of pump station in set time, the loading efficiency includes the loading time proportion of unloading valve and / or the loading efficiency of the drive motor of working pump;The loading efficiency of pump station is compared with the threshold range set, to determine whether the loading efficiency of pump station is within the threshold range set;And in response to the loading efficiency of pump station is not within the threshold range set, adjust the number of working pump in the pump station.By the scheme of the present application, the current pump station based on the mode of action data in working face to realize the number of pump adjustment is solved Method complex, platform dependency is big and the problem of poor control stability.

The utility model relates to the technical field of nutrient agar storage and distribution, and aims to solve the problems of inconvenience in taking, cross contamination and risk of deterioration of powder in a tank in clinical laboratory operation when the nutrient agar is stored in the tank in the prior art. The utility model provides an integrated nutrient agar storing and blending bag. The integrated nutrient agar storing and blending bag comprises a bag body and a material guiding assembly. A separation air bag is arranged in the bag body; the bag body is divided into a pure water cavity and a powder cavity through the separation air bag. The material guide assembly is communicated with the powder cavity; the material guiding assembly is arranged in the bag body in a penetrating mode. The integrated nutrient agar storing and blending bag provided by the utility model is convenient for storing the nutrient agar, is also convenient for direct use, does not need to be scooped up repeatedly or weighed manually, is convenient and practical, and solves the problems that the nutrient agar stored in a traditional tank is polluted and deteriorated.

The invention discloses a statistical storage method and system based on saas area orders and a transport capacity supply and demand board. The invention relates to the technical field of saas internet designated driving platforms. The order monitoring module monitors a data stream at an order side and captures a passenger event in real time; a transport capacity monitoring module starts to monitor data streams of an asset side and a position side, and driver events are captured in real time; setting data types, formats and conditions required to be captured by the order monitoring module according to business requirements; by monitoring a data source in real time and capturing a dynamic event and combining an efficient data preprocessing and caching strategy, real-time updating and high accuracy of data are ensured. Therefore, instant and reliable supply and demand information is provided for the user, and a more intelligent decision can be made. Through thermodynamic calculation and dynamic data statistics, supply and demand conditions of different areas and different time periods are accurately revealed. Therefore, the platform can deploy the transport capacity more accurately, and the real-time requirements of passengers are met.

The invention discloses a declarative deployment package parameter dynamic form protocol generation method and system, and belongs to the field of software deployment. The method comprises the following steps: acquiring a parameter configuration file; generating a dynamic form according to the parameter configuration file; the user inputs the value of the deployment packet parameter through the dynamic form; performing parameter verification on the value of the verification deployment packet parameter in the dynamic form; and after the parameter verification is passed, generating a deployable software package. Through automatic parameter configuration and a strict verification mechanism, the software deployment efficiency and reliability are greatly improved. The tedious process and error risk of manual parameter configuration are reduced, and it is ensured that software can be correctly deployed in different environments.

The utility model relates to the technical field of concrete slurry blending, in particular to slurry recycling and blending equipment for concrete. Comprising a bottom table, a primary pulp tank fixedly connected to the bottom table, a standard pulp tank fixedly connected to the bottom table, a separating valve fixedly connected between the primary pulp tank and the bottom table, a slurry pipe fixedly connected to the bottom table, a slurry pump fixedly connected to the slurry pipe, a liquid inlet hopper fixedly connected to the standard pulp tank, and the slurry pipe is matched with the liquid inlet hopper. A separation structure is arranged on the bottom table. According to the device, the aggregate and the slurry water in the slurry water are separated through the separation structure, so that the aggregate cannot be added into the blending process when the device extracts the slurry water, the device is more accurate during slurry water blending, and the accuracy of the device during slurry water callback is improved.

The invention relates to the technical field of base station design, in particular to a 5G base station drawing automatic generation system based on engineering design parameters, which can quickly and accurately generate a base station drawing meeting engineering requirements based on the engineering design parameters and greatly improve the design efficiency and quality. By setting a complexity threshold, the system can intelligently process block combinations in a complex scene, and the design process is further optimized. The accuracy of input data is ensured by the data verification module, and the data collection process is simplified and the integrity and accuracy of the data are improved by the multi-stage verification and automatic filling functions of the base station investigation module. In conclusion, the system not only improves the working efficiency and reduces the error rate, but also enhances the flexibility and adaptability of the design, and provides powerful support for rapid deployment and optimization of the 5G network.

The application discloses a file deployment method, relates to the technical field of file management, and comprises the following steps: counting the number of times of request non-return points; the number of times of request non-return points is the number of times of not returning node information to a client; the node information comprises information of a node capable of providing a target file for the client; obtaining the deployment quantity of the target file according to the number of times of request non-return points and a preset deployment rule; and deploying the target file to each target node according to the deployment quantity. The method can timely and accurately deploy files. The application further discloses a file deployment device, a server and a computer readable storage medium, which all have the technical effects.

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

This invention relates to the field of medical auxiliary device technology and discloses a pull-out painless gastrointestinal endoscopy elbow arm fixation frame, comprising: an elbow arm fixation assembly including a support frame, two hinged ears fixedly connected to the top of the support frame, a knob with a screw inserted between the two hinged ears, a circular lug with a double-toothed structure rotatably connected to the outer surface of the screw of the knob, and a damping rotating shaft fixedly connected to the outer circumferential surface of the circular lug. This invention, through a multi-dimensional adjustable structural design, can flexibly adapt to the needs of patients with different body types, arm lengths, and lateral decubitus positions, precisely adjusting the fixation position, tilt angle, and circumferential angle to ensure that the elbow arm is placed in accordance with the physiological contour; it can prevent displacement caused by unconscious agitation of the patient under sedation, while ensuring smooth peripheral venous access, providing reliable protection for anesthetic drug infusion and vital sign monitoring, and significantly improving the safety and patient tolerance of painless gastrointestinal endoscopy.

The invention provides an aircraft slide pre-position indicator lamp with distance measurement and audible and visual alarm functions, and belongs to the technical field of civil aircraft avionics systems and cabin door signal systems. Comprising a shell and a lampshade, a main control circuit board, a lamp panel and a reflective bowl are arranged in the shell, the main control circuit board is fixed to the lower portion of an inner cavity of the shell, the lamp panel is fixed in the inner cavity of the shell of the main control circuit board, the reflective bowl is fixed to the upper portion of the lamp panel, the lampshade covers the upper portion of the reflective bowl, and the edge of the lampshade is fixedly connected with the edge of an opening in the upper portion of the shell. And a distance detection sensor is arranged on the lampshade. The flight crew can rapidly and accurately prepare and deploy slide equipment through visual and auditory alarm signals in an emergency state, and it is ensured that passengers rapidly and safely evacuate from an airplane; and under normal conditions, serious economic loss and airplane delay caused by carelessly opening the slide equipment due to misoperation can be prevented.