53results about How to "No manual recording required" patented technology

The invention discloses a positioning test method and a positioning test device of an indoor advancing track, which relate to the field of positioning test and are used for realizing automatic positioning and accurate navigating indoors. The positioning test method comprises the following steps: after test is started, acquiring acceleration data and azimuth angle data of a moving object in real time; determining displacement data of the moving object in real time according to the acceleration data; determining a moving direction of the moving object in real time according to the azimuth angle data; determining a moving track of the moving object according to the displacement data and the moving direction; determining the position information of the moving object at any time point according to the initial position of the moving object and the moving track of the moving object at the time point.

The invention relates to an electronic lock kit which performs control by utilizing computer programs, performs recognition depending on an electronic cipher, and can replace and manage the electronic cipher. The electronic lock kit comprises an electronic lock core, an electronic key, a cipher manager and a key manager. The electronic lock core, the electronic key, the cipher manager and the key manager are matched mutually so as to realize the purposes that multiple lock core ciphers can be stored in one key, the ciphers of lock cores and related keys can be replaced in pairs at any time, lock core ciphers can be copied into appointed keys, the ciphers of appointed lock cores can be deleted from the keys, two-level user management modes of management ciphers (capable of unlocking and being operated) and common ciphers (only capable of unlocking) are provided, and the technical decryption can be prevented. The electronic lock core, the electronic key, the cipher manager and the key manager can be separately produced and sold according to standardized modes, the cipher manager can be universal, and the key manager can provide public use services, thus the design scheme provided by the invention provides the convenience in use and also greatly lowers the cost in production, selling and use.

The application discloses a gaseous pollutant photocatalytic online detection apparatus and method, the detection device comprises an air storage tank and a polluted gas tank, the air storage tank is connected directly with a mixing tank through a pipeline and is connected with the mixing tank by another pipeline through a closed container holding water, the polluted gas tank is connected with the mixing tank, the mixing tank is connected with a photocatalytic reactor, and the photocatalytic reactor is connected with a polluted gas detector; the detection method comprises: after being mixed in the mixing tank, air and polluted gas enter and react in the photocatalytic reactor, and reacted gas enters the polluted gas detector to acquire polluted gas concentration, thereby detecting in real time polluted gas concentration in a flow system. The application addresses the problems that photocatalytic degradation offline equipment is unable to simulate a real application environment and manual sampling is long in cycle, low in data quantity, time-consuming and labor-consuming and low in reliability, and it is possible to monitor in real time polluted gas during gaseous photocatalysis.

The invention provides an iron ore flotation concentrate grade soft measurement method and system based on case-based reasoning. The method comprises the following steps: extracting historical production data from the iron ore flotation production process; constructing a flotation case library; carrying out case retrieval in the flotation case library to obtain a group of similarity values; ranking the similarity values from large to small, and selecting case descriptions corresponding to the front n similarity values as reference cases of the current working condition; calculating weighted average value of case solutions of the n reference cases, and carrying out case reuse to obtain new case solutions; carrying out case retrieval to find the case description having the maximum similarity value; and if the maximum similarity value is larger than a similarity threshold value, abandoning a new flotation case, or otherwise, replacing the case description having the maximum similarity value by the new flotation case. The iron ore flotation concentrate grade soft measurement method and system give flotation concentrate grade measured values under different working conditions by means of measurable production data related to iron ore flotation concentrate grade, and can improve security, reliability and economy of iron ore flotation production.

The invention discloses a leakage detecting device for a wetsuit. The device comprises a detecting device body, wherein the detecting device body is composed of a pressure detecting mechanism, a baseand a sealing detecting device, and one end of the top of the base is fixedly connected with the sealing detecting device. The leakage detecting device for a wetsuit has compact structure and is convenient for leakage detection for the wetsuit. The seal detection device is set to facilitate the detection of the leakage of the wetsuit during the detection, and can detect pressure values of the diving suit in different times in real time, and fully detect the sealing performance of the wetsuit under no pressure. When the pressure changes, an alarm gives the alarm, and a display screen automatically records with no manual recording needed, so that the convenience of detection is improved. The pressure detecting mechanism is set to detect the sealing performances of the wetsuit under differentpressures through the pressure provided by a hydraulic cylinder, which is convenient to calculate the leakage under different depths of seawater, improves the diversity of detection data, and ensuresthe accuracy of the test results.

The invention relates to a real object management method and device, computer equipment, a storage medium and a computer program product. The method relates to the technical field of Internet of Things data management, and comprises the following steps: obtaining a real object obtaining request sent by a service terminal; analyzing the real object obtaining request to obtain first identity information and target real object information; according to the first identity information, an opening key of the physical cabinet corresponding to the target physical information is generated, the opening key is sent to the physical cabinet, and the opening key is used for assisting the physical cabinet in achieving management of the physical cabinet according to second identity information and the opening key when the second identity information of the user is obtained. According to the method, the opening secret key corresponding to the real object cabinet is generated according to the identity information in the real object obtaining request, the real object cabinet can be opened as long as a person with the corresponding identity uses the identity information of the person, electronic real object management is achieved, manual recording and input of other secret keys are not needed, and the management efficiency of the real object cabinet is greatly improved.

The invention is applicable to the technical field of material management and control, and provides a material management and control method, a material management and control device and terminal equipment. In the binding process, whether the material is a humidity sensitive device or not is detected; and if the material is a humidity sensitive device, the current time is acquired and the currenttime is determined as the unsealing time of the material. According to the invention, the unsealing time of a moisture sensitive device can be automatically obtained, labor cost is reduced, and humanerrors are avoided.

The invention discloses a self-adaptive sinter prediction method based on model parameters. According to the method, blend physicochemical indexes and historical data of corresponding sinter nature are collected; the relation between the blend physicochemical indexes and the sinter nature is fitted out through an RBF neural network algorithm and is saved as a function; the blend physicochemical indexes are input to predict the sinter nature; and a sinter matching database is established to achieve the self-adaptation function of a model. Through the method, the sinter nature is predicted quickly and accurately based on data modeling, automatic update of the model parameters is realized, and a basis is provided for ore matching strategy production. Meanwhile, the existing prediction methoddepending on manual experience judgment is changed, and the working efficiency of an enterprise is improved.

The invention discloses an Internet-of-Things device detection method. The Internet-of-Things device detection method comprises the steps of sending an instruction that a virtual device is adjusted into a first state to the virtual device, so that the virtual device adjusts the state of the virtual device according to the instruction, obtaining a second state, and returning the second state back to a control terminal, wherein the virtual device has the functions identical to those of the Internet-of-Things real device; judging whether the first state is consistent with the second state or not;if not, labeling a functional point corresponding to the instruction as an anomaly, and generating a detection report containing the first state, the second state and the functional point corresponding to the instruction. According to the method, based on the virtual device with the functions identical to those of the Internet-of-Things real device, various functional points are detected, the influences of development board welding and other factors on the detection process and the detection result are eliminated, and therefore, the Internet-of-Things device detection efficiency is improved,and the accuracy of the detection result is improved. The invention further discloses an Internet-of-Things device detection system, device and equipment and a readable storage medium. The Internet-of-Things device detection system, device and equipment and the readable storage medium have the above advantages.

The invention relates to a line loss point inspection method and device, computing equipment and a storage medium. An integrated measuring instrument is used as a signal source and a power measurementterminal, and a power meter is used as an auxiliary power measurement terminal. According to the scheme, the corresponding loss of each actual connecting part at each use frequency point can be accurately calculated, so that the loss of the whole link at the frequency point can be accurately calculated, and the loss of each frequency point can be verified. The scheme does not depend on a gold machine or a platform, and the accuracy of line loss is better guaranteed; meanwhile, the scheme can be automatically realized, manual recording and calculation of a user are not needed, the repetition is easy, and errors are avoided.