6results about How to "Solve wasteful technical problems" patented technology

The invention discloses a cooling capacity allocation method and device of an intelligent building and a storage medium, and relates to the technical field of air conditioner control, the cooling capacity allocation method of the intelligent building comprises the steps that if a temperature setting instruction triggered by an air conditioner is detected, the set temperature corresponding to the temperature setting instruction is determined; the expected cooling capacity of the air conditioner is determined according to the set temperature; the current cold storage capacity of the cold storage module is obtained; and according to the node grade of the cooling capacity pipeline associated with the air conditioner, the expected cooling capacity and the current cold storage capacity, the allocated cooling capacity of the air conditioner is determined. Therefore, the technical problem that a building air conditioner management scheme in the related technology causes invalid consumption of a large amount of electric energy and causes waste of electric quantity is solved, and the technical effects of accurate cold supply and electric energy saving are achieved.

The application discloses a space network networking method and device, a network resource arrangement platform and a storage medium. The method comprises the following steps: in the case that a UAV service accesses a network, the position of the UAV performing the UAV service is determined; the service score corresponding to the cell within the preset distance range from the position of the UAV is determined; the preset number of cells with the highest service score are determined as the space candidate working cells, and the number of adjustable beams of the space candidate working cells is determined; and the space-to-air beam and the ground-to-air beam of the space candidate working cells are determined and set according to the number of adjustable beams. The application solves the technical problems that the UAV space coverage scheme in the related art mostly needs to add equipment for transmission transformation, the cost is too high, the scheme of covering the space by directly using the existing site resources has too great influence on the ground coverage, and the beam resources for covering the space are wasted.

The invention relates to a monitoring point optimization method and device fusing a GIS technology and face recognition, and a terminal. According to the method, the GIS technology and the face recognition technology are adopted to realize grid management of a monitoring area; data is provided for abnormal track line identification through equipment parameter information and monitoring data of monitoring equipment; according to the monitoring data and the snapshot data, a track speed and an abnormal track line are analyzed, a monitoring blind area in a monitoring area is identified, virtual point location construction is carried out on the abnormal track line, a construction recommendation numerical value is obtained, a monitoring range map after accurate monitoring point location construction optimization is obtained, the coverage rate and monitoring efficiency of a monitoring network are remarkably improved, and the monitoring efficiency of the monitoring network is improved. The monitoring blind area is effectively reduced, and the construction and operation cost of the monitoring system is reduced; the technical problems that traditional monitoring point location layout depends on artificial experience and on-site investigation, the efficiency is low, and it is difficult to ensure that a monitoring network can comprehensively cover a key area, and consequently resources are wasted are solved.

The invention provides a bank outlet power utilization energy efficiency optimization method. The method can be applied to the technical field of artificial intelligence and the technical field of Internet of Things. The method comprises the steps of obtaining a banking outlet identifiers, obtaining monitoring data of each banking outlet in the a banking outlets in an nth preset period based on the a banking outlet identifiers, and further obtaining b banking outlet identifiers. And performing energy efficiency evaluation on the b banking outlets, and screening c banking outlet identifiers. And obtaining d bank outlet identifiers from the a bank outlet identifiers, and obtaining feature data of each electric device in the d bank outlets. And inputting the electric equipment characteristic data of each of the d bank outlets into a pre-generated power utilization energy efficiency model, and outputting an electric equipment configuration scheme of each of the d bank outlets, so as to optimize the power utilization energy efficiency of each of the d bank outlets. The invention further provides a bank outlet power utilization energy efficiency optimization device and equipment, a storage medium and a program product.

The application discloses an anaerobic system nutrient salt adding method based on AI intelligent control, relates to the technical field of industrial wastewater biological treatment, and comprises the following steps: collecting real-time water quality time sequence data and laboratory biochemical true value data, and constructing a multi-modal input vector; inputting an LSTM-Attention model to generate an anaerobic bacteria specific growth rate prediction value and a dynamic dosing weight coefficient; based on the weight coefficient, a double-loop control strategy is executed, the total dosing amount target is optimized in the outer loop, and the instantaneous dosing flow instruction is calculated in the inner loop; the instruction is sent to adjust the dosing amount, and the true value deviation value is calculated; when the deviation value exceeds the threshold value, sensor calibration and model incremental training update are executed. The application solves the problems of blindness in addition and system instability caused by the mismatch between the long lag of the traditional control mode and the fast fluctuation of the water hydraulic load.

The invention discloses a data processing method and device, a computer program product and electronic equipment, and relates to the field of financial science and technology, and the method comprises the steps: constructing a business constraint condition based on the business upper limit data of each website in a target region in each time period, constructing an employee constraint condition based on the total number of employees in the target region, and constructing a business constraint condition based on the business upper limit data; constructing a utility cost function to obtain a target function, performing iterative solution on the target function when a business constraint condition and an employee constraint condition are satisfied to obtain an initial business volume and an initial employee number, determining a mismatch value corresponding to each time period based on the total number of employees and the initial employee number, and determining a mismatch value corresponding to each time period; and when the mismatch value is smaller than a preset mismatch threshold value, taking the initial employee number as a target employee number. According to the method and the device, the technical problem that the service pressure of the network is too high in part of time periods but human resources are wasted in part of time periods due to the fact that the number of employees which should be allocated by each network in different time periods cannot be accurately determined in related technologies is solved.