41results about How to "Reduce computing workload" patented technology

The invention provides a touch-sensitive scanning detection method and a system, as well as a capacitive touch sensor, which are applicable to the field of touch sensors. The method comprises the following steps: firstly, detecting out a sensing electrode on a capacitive touch sensor unit, corresponding to a touch position; then driving a drive electrode in a cross coupling way; conducting detection scanning on the sensing electrode in a targeted way; and finally determining the touch position. Without the need of detecting the touch sensor units on a capacitive touch sensor unit matrix one by one, the detection method decreases sampling data, reduces operational workload and achieves the purposes of saving time and power.

The invention provides a comprehensive evaluation method for primary frequency modulation performance of a generator set. The comprehensive evaluation method comprises the following steps of determining an index for evaluating the primary frequency modulation performance of the generator set; performing normalized processing on the index for the primary frequency modulation performance of the generator set; determining the weight of the index for the primary frequency modulation performance of the generator set by a subjective and objective weight combination method; and evaluating the grade of the primary frequency modulation performance of the generator set based on a matter-element extension method. According to the comprehensive evaluation method, the dynamic primary frequency modulation performance index is introduced; the advantages of the subjective weight and the objective weight are combined to solve the weight of the primary frequency modulation performance index; the comprehensive evaluation for the primary frequency modulation performance of the generator set can be carried out based on the matter-element extension method; and in addition, the evaluation result is objective, reasonable and safe, so that foundation is laid for assessment of a dispatching department of an electric power system.

The invention discloses a DC electromotor frequency conversion control device which is characterized in that the device comprises a sample resistance, an intelligent frequency conversion module and a controller which are connected in series among three low bridge arms and power DC buses of the intelligent frequency conversion module. The intelligent frequency conversion module comprises an inverter consisting of a large power electric switch apparatus; the switch control gate of the large power electric switch apparatus receives a switching control signal transmitted by the controller, and the switching control signal is converted to a drive current of the DC electromotor by the controller; the controller comprises a calculating element which is used for calculating and obtaining the position of a rotor according to the three-phase input current of the electromotor collected by the sample resistance as well as a control unit which generates the switching control signal of the large power electric switch apparatus according to the rotor position and an expected rotate speed of the electromotor. The DC electromotor frequency conversion control device provided by the invention can meet the requirement of the frequency conversion of 180 degrees of sine wave of a brushless DC electromotor.

The invention discloses an LCL filter capable of adjusting resonant frequency automatically and a working method of the filter. The LCL filter capable of adjusting resonant frequency automatically comprises an inverter side inductor, a power grid side inductor, N groups of capacitors in parallel connection between the inverter side inductor and the power grid side inductor, and a controller connected to the N groups of capacitors in parallel connection and for controlling the switching number of the capacitors. Influence of electric reactance to the resonant frequency existing on a line can beeliminated by only adjusting the filtering capacitor values; the resonant frequency of the filtering circuit can be dynamically adjusted according to actual needs, and the resonant frequency can be kept within an APF normal operation safety range, so that the APF filtering effect is improved, thereby improving electric energy quality and ensuring power generation grid-connection stability; and byadopting controller to control switching of the capacitors, the filter is simple in structure, capable of lowering operational workload and cost, low in electrical collection amount in the realization process, good in filtering effect, and capable of improving grid-connection electric energy quality.

Embodiments of the invention provide a file encryption method and device. The method comprises the steps of obtaining an encrypted and compressed first encrypted file; selecting an interception position of a binary file of the first encrypted file; intercepting a binary file of the first encrypted file according to the interception position, and storing interception position information and intercepted binary content into a database; and splicing the remaining binary files after the first encrypted file is intercepted to generate a second encrypted file. According to the embodiment of the invention, the binary file of the first encrypted file is subjected to position interception and storage, so that the problem of relatively low file encryption security in related technologies can be solved, and the effect of improving the security of the encrypted file is achieved.

The invention relates to a dry-type reactor monitoring method based on waveform reduction technology and an implementation device thereof. In the method, voltage and current signals are collected in pairs through a DSP (digital signal processor) or a single chip microcomputer, and the waveform restoration calculation of the corresponding signals is performed by adopting an improved spline fittingmodel; determining the zero crossing point of the obtained waveform, and if a zero crossing point criterion is triggered, calculating the corresponding signal frequency of the waveform by using the time interval of two zero crossing points of the same signal waveform according to the sampling frequency or the clock sequence of the DSP or the single chip microcomputer as a reference; calculating phase difference according to the time difference of successive zero crossing points in the same signal group; further calculating a power factor; and transmitting the real-time phase difference, frequency and power factor calculation results to a remote computer through a protocol, storing and processing the real-time data by the computer, performing statistic analysis of the change and the abnormal fluctuations of the frequency, the phase difference and the power factor to monitor the states of operation of an electric power system and an electric power device for timely early warning and alarm.

The invention relates to the technical field of computer aided design and manufacturing, and in particular relates to an integral design method and an integral design device for a curved surface. The integral design method for the curved surface comprises the following steps of: 1) determining a number M of reference points to be acquired; 2) setting three-dimensional coordinate values (xi, yj, Z(xi, yj)), Zx (xi, yj), Zy (xi, yj) and Zxy (xi, yj) of the M reference points, wherein (i, j=0,1,2,...,n), and (n+1)<2>=M; 3) substituting the four types of parameters into the following formula; and 4) generating the curved surface according to the formula. A curved surface generation device generates the curved surface by using the curved surface generation method. By adopting integral design, the working procedure is simple; the curved surface can be generated only by using one formula; the calculation working amount is small; the number of occupied computer resources is small; the number of reference points is set, and the four types of parameters are substituted into the formula; the curved surface design efficiency is improved; and a designer can understand and use the curved surface conveniently.

The invention, which belongs to the technical field of a tool post-processing method of a five-axis numerical control machine, discloses a universal post-processing method for a five-axis numerical control tool grinding machine so that a problem that the existing post-processing method of the machine tool is not suitable for the five-axis numerical control grinding machine because of not considering the initial axial direction of the grinding wheel and the mounting positions and mounting directions of multiple grinding wheels and inconsistency of the workpiece coordinate system direction and the machine tool coordinate system can be solved. The method comprises: establishing a unified coordinate system; setting characteristic parameters of a grinding machine; establishing a universal grinding machine post solution equation; and calculating the equation established at the previous step by using a method based on grinding machine type transformation. According to the invention, a novel method is provided for post processing of a five-axis numerical control grinding machine; and the post-processing method can be applied to existing 36 kinds of five-axis numerical control grinding machines on the market and has high universality.

The invention relates to a mass data correlation peak position fast obtaining method. The mass data correlation peak position fast obtaining method comprises a step 1 of re-sampling of data to be processed, a step 2 of correlation operation of samples of the re-sampled data, a step 3 of raw data interception, a step 4 of correlation operation of samples of the intercepted data, and a step 5 of calculation for obtaining correlation peak positions of raw data. The mass data correlation peak position fast obtaining method can solve the problems that in a common method, when mass data correlation peak positions are to be obtained, the number of operations is too large and the operation time is too long, thereby mitigating the adverse effect that a data processor needs to operate in an overloaded mode for a long time.

The embodiment of the invention discloses an image fine-grained classification method and device, a storage medium and equipment. The method comprises the steps of acquiring at least two sample images; performing feature extraction on the at least two sample images to obtain feature information corresponding to the at least two sample images; determining first label values corresponding to the atleast two sample images; constructing a preset measurement model according to the obtained feature information and the first label value, wherein the preset measurement model represents a measurementmodel for optimizing the distance between at least two pieces of feature information; combining the preset measurement model with a pre-trained preset classification model to obtain a target classification model, wherein the target classification model is used for realizing fine-grained classification of the to-be-processed image.

The invention relates to a multi-energy complementary distributed energy microgrid operation optimization control system and method based on an analytic hierarchy process. At present, the operation optimization adjustment of a distributed energy station is basically based on a principle of economy, and the coupling between a user load and a multi-energy complementary energy supply system is difficult to accurately meet. The system comprises a multi-target comprehensive analysis system, an environment prediction system, an optimization adjustment system and an output guidance system; the multi-target comprehensive analysis system comprises a sub-target analysis system, a target analysis system and a multi-target comprehensive evaluation system; the multi-target comprehensive analysis systemand the environment prediction system are both connected with the optimization adjustment system, and the optimization adjustment system is connected with the output guidance system. Through the analytic hierarchy process, the multi-target comprehensive evaluation and analysis of the energy efficiency, performance, environment, reliability, economy, greenness and the like are carried out, and based on a Q on-line deep learning theory, the multi-target integration of the multi-energy complementary comprehensive energy supply system is achieved, and the system optimization operation is comprehensively promoted.

The present invention relates to the field of electric power automation. A method for controlling automatic identification of an application network topology by a power distribution network, the method comprising the following steps: 1. Statically configuring switch attributes; 2. A power distribution network intelligent terminal STU determines whether a query trigger condition is satisfied; 3. An inquirer sends a query command to start the query into an application network topology; 4. Replying to the query command; 5. Receiving the query command; 6. Checking the integrity of the switch attribute information; 7. Forming an application network topology. The method for controlling automatic identification of an application network topology by a power distribution network has few calculations and high speed, ensures the integrity and reliability of information, and is particularly suitable for distributed intelligent control of the power distribution network. The establishment of the application network topology is distributed to each power distribution network intelligent terminal STU, thus reducing heavy calculation, and being suitable for application having relatively few embedded system software and hardware resources.

A program level intrusion test system and a method is composed of a control module, a data collection and pre-process module, a training module, a storage module, a test module and a result output module matched on a monitored server. Said system applies an abnormal test technology based on data excavation, which tests various kinds of attack actions in the network by monitoring the operations of the privilege program in the server, that is, taking the system calling generated from privilege program operation as the audit data, utilizing the sequence mode in data excavated technology to express the normal behavior of a privilege program, excavating normal sequence mode in training data and setting up a related normal sequence mode library to identify the attack behavior by comparing the current with the normal sequence modes.

The invention relates to a display screen brightness and chrominance correction method and device based on a mobile terminal. The correction method comprises the following steps: controlling a to-be-corrected area of a display screen connected with the mobile terminal to display a preset picture through the mobile terminal; collecting a first correction image when the preset picture is displayed in the to-be-corrected area through the mobile terminal; acquiring reference brightness and chrominance data; obtaining a brightness and chrominance correction coefficient of the to-be-corrected area according to the first correction image and the reference brightness and chrominance data; and sending the brightness and chrominance correction coefficient to the display screen to correct the area to be corrected. According to the invention, the brightness and chrominance difference of the display screen is eliminated based on the adjustment of the mobile terminal, so that the brightness and chrominance of the display screen are highly consistent, and the correction efficiency and the correction effect are improved.