77results 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 discloses a PLC code generation and verification method based on a large language model, and the method comprises the steps: generating multi-stage multi-mode input data which is used for representing user demands and formulating a system design scheme according to a demand analysis result; the multiple stages comprise a demand analysis stage and a design stage of a complete engineering cycle; the multi-mode input comprises a Pamp (Passive Amplitude Point); an ID graph and a natural language; then, according to the multi-stage multi-mode input data, a PLC code is generated; then, verification testing is carried out on the generated PLC code, and the verification testing comprises code verification and compiler verification; and finally, after the verification test on the PLC code is completed, deploying the PLC code. The PLC code deployment method is high in accuracy and automation degree, an efficient and accurate PLC code deployment method can be provided for network security researchers, and the PLC code deployment method can be widely applied to the technical field of computers.

The invention provides a dynamic computing power resource scheduling method, system and device, and a storage medium, and relates to the technical field of resource allocation, and the method comprises the steps: predicting a first change trend of user request traffic in a second preset time according to user access behavior data of a target platform in a first preset time, and determining the user request traffic in the second preset time according to the first change trend; generating a first resource scheduling strategy; according to the historical user access behavior data, adjusting the first resource scheduling strategy to generate a second resource scheduling strategy; according to the activity information, predicting a second change trend of the user request traffic within a second preset duration; and adjusting the second resource scheduling strategy according to the second change trend to generate a target resource scheduling strategy, and adjusting resource allocation of the target server cluster according to the target resource scheduling strategy. The method has the technical effects that the change trend of the user request flow is accurately predicted, and accurate allocation of server resources is realized.

The embodiment of the invention provides an unmanned aerial vehicle dynamic deployment method and equipment, and the method comprises the steps: introducing a flight plan, a flight path line and a space-time envelope of flight, predicting the flight path of an unmanned aerial vehicle at a specific time, mastering the full view of the flight process in the whole flight plan, and carrying out the management and control of the capacity of the flight path as a resource, thereby achieving the dynamic deployment of the unmanned aerial vehicle. According to the method, the flight plan is deployed based on the capacity control result, conflict detection is carried out on space-time conflicts possibly existing in the flight process in combination with the flight control area and the flight plans of other unmanned aerial vehicles, and the flight plan is further adjusted in combination with the conflict detection result, so that accurate deployment of the flight of the unmanned aerial vehicles is realized. And the flight efficiency and the airspace utilization rate of the unmanned aerial vehicle are effectively improved.

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 discloses a public risk perception and behavioral group psychological regulation and control model based on an emergent public health event, which belongs to the technical field of social public management and comprises a risk perception dynamic evaluation module, a behavioral group psychological prediction module and a psychological regulation and control strategy generation module. Through the steps of multi-dimensional information acquisition, quantitative calculation, network topology structure construction, state space diagram generation, Fokker-Planck equation solution and the like, dynamic evaluation of public risk perception level and accurate prediction of group psychological change and behavior trend are realized, and meanwhile, according to a prediction result, the risk perception level of the public can be accurately evaluated. And a psychological regulation and control strategy suitable for the current situation is matched and generated from the strategy library so as to guide the public to deal with public health emergencies rationally.

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 medical alliance chain dynamic security resource configuration method, and relates to the technical field of communication, and the method comprises the following steps: counting a plurality of nodes in a medical alliance chain node network architecture, marking the nodes as link nodes, monitoring the operation state of each link node based on a preset dynamic monitoring period, and sending the monitored operation state to a server; and analyzing the comprehensive load evaluation index value of each link node, comparing the comprehensive load evaluation index value with a preset operation load index threshold value to generate an operation load evaluation label of each link node, and processing according to the operation load evaluation label of each link node to obtain the number of redundant backup nodes of each link node. According to the medical alliance chain system resource allocation method and system, accurate allocation of medical alliance chain system resources can be achieved, a resource allocation strategy and a redundant backup node starting mechanism can be adjusted according to the real-time load condition of each link node, and the operation efficiency and stability of the whole medical alliance chain system are improved.

The invention relates to the technical field of de-printing and de-printing, in particular to an offset printing intermediate color intelligent generation method and system based on digital image analysis, and the method comprises the steps: obtaining to-be-de-printed order information, and obtaining a de-printed image based on the to-be-de-printed order information; obtaining deprinting color information according to the deprinting image, and generating a deprinting color allocation instruction based on the deprinting color information; in response to the deprinting color allocation instruction, deprinting color parameters are obtained, and a deprinting color matching index is obtained based on the deprinting color parameters; and obtaining deprinting color injection data according to the deprinting color matching index, and deprinting a target object based on the deprinting color injection data. The method has the effects of accurately blending the deprinting color and improving the deprinting quality.

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 vertical activated carbon waste gas treatment device which comprises a tower body, a cleaning mechanism is arranged in the tower body, a water tank is arranged at the bottom of the tower body, supporting legs are fixedly connected to the bottom of the water tank, and two precise control proportion mechanisms are arranged on one side of the top face of the water tank. The bottom of the water tank is provided with a wastewater filtering treatment mechanism, the cleaning mechanism comprises a hydraulic rod and a brush, the hydraulic rod is arranged in the tower body, and the brush is fixedly connected to the output end of the hydraulic rod and used for cleaning dust on the surface of the limiting net. The working efficiency and safety are improved, accurate preparation of an acid solution is facilitated, so that the surface of the limiting net is effectively and rapidly cleaned, follow-up waste gas adsorption of activated carbon B to the maximum extent is facilitated, residues of pollutants in waste water can be effectively reduced, meanwhile, activated carbon A is convenient to replace, the durability of the system is improved, and the long-term operation efficiency of the whole system is 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.

A packaging container comprises a main bottle body, a bottle cap, an inner cylinder of the bottle cap or an inner cylinder chamber, and an inner cylinder cap. The inner cylinder cap is provided with at least one puncture head, the inner cylinder cap is connected to the inner cylinder of the bottle cap and is sleeved on the head end of the inner cylinder of the bottle cap, the inner cylinder of the bottle cap is provided with at least one puncture hole, and at least one mutually matching reverse rotation obstruction device is provided on the inner cavity part of the bottleneck and the outer surface of the inner cylinder cap. The present invention punctures the inner cylinder of the bottle cap or the inner cylinder chamber from the outside and releases the material; the packaging container realizes the independent sealing of two or more separately configured materials, thereby ensuring the storage requirements of the product. When the user opens the packaging container or only twists the bottle cap, the contents of the packaging container can be automatically mixed together to achieve an automatic mixing effect, which is beneficial to the carrying, use, storage and quality safety of the product and avoids cross contamination during mixing; the present invention also provides a packaging composition and application of the packaging container.

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.

The invention provides a cloud computing virtual machine scheduling algorithm suitable for railway communication cloud, and aims to solve the defects of an existing scheduling algorithm in processing the requirements of high real-time performance and high security in a railway communication system. According to the algorithm, accurate scheduling is performed based on the model and bandwidth attribute of the PCI network card, so that the virtual machine can directly access the physical network card to reduce delay and improve the data transmission rate. And meanwhile, the algorithm realizes network isolation between the virtual machines through physical switch configuration, so that the security of the system is guaranteed. When virtual machines are created in batches, the scheduling algorithm can schedule physical server nodes meeting topology requirements in batches according to a network topology structure defined by a user, and correct connection between the virtual machines and the network topology is ensured. Through the algorithm, the railway communication system can meet the requirements for low delay, high bandwidth, security isolation and batch scheduling in a complex network environment, and the efficiency and flexibility of virtual machine scheduling are remarkably improved.

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 invention belongs to the field of power grid systems, and particularly relates to a wind-solar power generation complementary allocation method for a new energy power supply system. Comprising the following steps: collecting power data of each wind power plant and solar power plant to form a wind power generation power matrix and a solar power generation power matrix; and obtaining a predicted wind power generation power matrix and a predicted solar power generation power matrix through a future power estimation model. A complementarity index matrix is formed by complementarity indexes between the generated power of each wind power plant and the generated power of each solar power plant. And selecting an element with the minimum complementarity index from the complementarity index matrix, determining the corresponding wind power plant and solar power plant for deployment, updating the complementarity index matrix, repeating the step until the end, and outputting a final deployment scheme. The whole process aims at realizing complementary allocation of wind and light power generation and improving the stability and efficiency of a new energy power supply system.

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 present invention discloses an accessory application and regulation system for simplifying an dental implant restoration process, which comprises a dental collection module, a dental analysis module, a dental data collection module, a dental data processing module, an accessory matching module, an accessory information collection module, an accessory information analysis module, an accessory installation collection module and an accessory installation evaluation module, wherein the dental collection module is used for collecting dental image information before accessory installation and continuously collecting the dental image information for three times, the dental analysis module is used for analyzing the dental image information to obtain dental evaluation information, and the dental analysis module is used for analyzing the dental image information to obtain the dental evaluation information. The present invention is better able to take the fitting degree of the accessories into account, which is for enhancing the installation and assembly experience, namely, better protecting the person to be restored, and for better accessory application and regulation.

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.