36results about How to "Increase detection means" patented technology

The invention discloses a converter smelting endpoint molten steel carbon and temperature control system and a method thereof, and belongs to the technical field of converter steelmaking automation control. The converter smelting endpoint molten steel carbon and temperature control system comprises hardware equipment and a software processing module, and is characterized in that: the hardware equipment comprises converter sublance measuring equipment and converter exhaust gas analysis equipment; the software processing module comprises a converter production process data acquisition module, a converter smelting endpoint carbon calculation module, a converter smelting endpoint temperature calculation module, and an information display module; the software processing module is operated on a computer; and the hardware equipment and the software module are connected with a converter production process database through an Ethernet to realize data interaction. The control system and the method thereof have the advantages of accurately controlling the converter smelting endpoint molten steel carbon content and the molten steel temperature, along with stable operation, cost conservation, and wide application range.

The invention discloses an internal discharge detection method of sulfur hexafluoride gas insulation equipment, comprising the following steps: A, providing a SF6 (sulfur hexafluoride) gas sample in the insulation equipment to be detected; B, after the sample is introduced in, detecting conventional ingredients in the gas sample by a TCD (thermal conductivity detector); C, After the TCD detects that SF6 almost flows out, inputting the sample into a FPD (flame photometry detector); D, detecting a trace product decomposed by SF6 via the FPD; and E, according to the content and the variation condition of the tract product, judging whether the SF6 gas insulation equipment has local discharge defects. In the invention, the internal insulation condition of electric equipment can be judged according to the chemical decomposer of SF6 gas. In the invention, a detection means for the internal insulation situation of GIS (Gas Insulated Switchgear) equipment is added, equipment station information is enriched, the internal discharge faults of GIS can be found as quickly as possible,equipment operation reliability is improved, a fault air chamber can be positioned quickly and accurately after discharge faults burst in GIS, and maintenance efficiency is improved.

The invention discloses a speech emotion recognition system, including a speech preprocessing module, an emotional feature extraction module, and an affective analysis module. The input end of the speech preprocessing module is connected with the speech data, the output end of the speech preprocessing module is connected with the input end of the emotion feature extraction module, the output end of the emotion feature extraction module is connected with the input end of the emotion analysis module, and the output end of the emotion analysis module outputs an analysis recognition result. The speech pre-processing module obtains the speech signal through processing the speech data, and transmits the speech signal to the emotion feature extraction module to extract the acoustic parameters closely related to the emotion in the speech signal, and finally sends the acoustic parameters to the emotion analysis module to complete the emotion judgment. The invention also provides a speech emotion recognition method, which adds a detection means of a telephone fraud system, and can carry out multi-dimensional analysis on the speech data, and the detection accuracy rate of the system is improved by 5%.

The invention discloses a construction method for a conditional overexpression Yap1 gene mice model at an H11 locus. The construction method comprises the steps: firstly, obtaining an inducible Yap1 overexpression transgenic vector; then, obtaining transgenic F0-generation mice; next, enabling the F0-generation mice to mate with wild-type mice, carrying out passage and line establishment, and thusobtaining F1-generation mice; and carrying out expanding propagation of positive F1-generation mice, then mutually mating, and thus obtaining the conditional overexpression mice Yap1 animal model. The transgenic mice model constructed by the method can be used for studying the function of Yap1 in different tissues and different developmental stages and the action mechanism of Hippo signaling pathways, can also be used for studying the function of the Hippo signaling pathway in animal development, biotumorigenesis, regenerative medicine and other disciplines, and has important guiding significance on biological signal transduction studies.

The invention discloses a detection analysis method for impurity homopiperazine in fasudil hydrochloride, wherein conductivity detection and an ion chromatography method are adopted to carry out quantitative analysis on the impurity homopiperazine in fasudil hydrochloride. The method has characteristics of simpleness, high precision, good stability, and good reproducibility.

The invention relates to a lean intelligent assembly line for a start-stop starter. The lean intelligent assembly line comprises an isolator assembly assembly line, a drive shaft assembly assembly line, a starter assembly assembly line, an electromagnetic switch assembly assembly line and a delivery performance detection line. The isolator assembly assembly line is sequentially provided with a guide cylinder oil spraying line feeding process, a gear shaft feeding process, a gear automatic spinning process, a cap washer assembling process, a cap extruding process, a cap shaping process, a towerspring mounting process, a sliding ring assembly mounting process, a sliding ring assembly pressing process and an isolator line discharging process. By means of the lean intelligent assembly line for the start-stop starter, error prevention is achieved in the whole process; unqualified products are automatically isolated; and the assembly quality and efficiency are greatly improved, and the number of personnel on the whole line is reduced by 80%.

The invention discloses a wireless adaptive temperature sensor with functions of network testing and displaying, which is sensor equipment with a network signal monitoring function belonging to the technique of low-consumption wireless sensors and developed to meet requirements of common families and institutions on real-time environment monitoring. The sensor program adopts a design scheme including a universal single-chip microcomputer, a liquid control circuit and a wireless ZIGBEE network module. The single-chip microcomputer realizes displaying and intelligent environment monitoring at low consumption by means of enabling management and hibernation algorithm of a power chip, and functions of acquiring the current status of network communication by users, managing a power switch of the sensor, transmitting current displayed temperature readings and the like can be realized easily with external keys. The more advanced ZIGBEE network in wireless sensor networks is adopted, so that data reliability and networking scale adaptability are guaranteed. A display module is designed to better realize a user interaction function of the sensor, while the Kalman filtering algorithm is added to achieve intelligent adjustment of transmitting intervals of nodes, and accordingly true risks of data with transmitting intervals are lowered greatly, operation of a real-time system is more benefited, a function of indoor environment alarming is realized for users, and accordingly the wireless adaptive temperature sensor is capable of detecting temperature and assuming important responsibility of family security.

The invention discloses a ground detection experiment system for mining equipment, relates to the mining equipment detection field. An isolation transformer (1) is connected with a ground power supply circuit, and a neutral point grounding system is converted into a neutral point un-grounding system so that a diversity parameter when the neutral point is ungrounded is detected under the conditionthat the neutral point is grounded; the over-current or over-voltage is judged through the current detection and voltage detection so as to detect various different electric leakage forms on the sameequipment; detected parameters have high precision, and the detection measure is good; an embedded system detection substation and a PLC (programmable logic controller) system are designed, the equipment is controlled to operate through the detection result; and the result can be inquired online through a principle computer; the intellectualization, visualization and communication of the equipment is improved.

The invention discloses an intelligent control system and method for an electric furnace charging crane. Main and secondary lifting height detection equipment are arranged on main and secondary lifting mechanisms. Electronic anti-swing equipment, a large vehicle gray bus and a main small vehicle gray bus are added. A cab camera is added. Material basket coordinate scanners, main hook recognizing cameras, material pit panoramic cameras and a secondary hook recognizing camera are arranged corresponding to material pits. A discharging position panoramic camera is arranged corresponding to an electric furnace. Wireless AP (Access Point) data equipment and video equipment are arranged at two ends of a crane running interval respectively. A wireless communication client and a wireless video client are arranged at two ends of a large vehicle end beam. Fireproof cotton is arranged on the main small vehicle gray bus. Detection means for carrier lifting, waste steel discharging and carrier resetting of the electric furnace charging crane are added, detection equipment on a crane body is screened, an effective protection means is adopted in an auxiliary manner, and remote video operation equipment is added, so that intelligent running of the electric furnace crane is realized. Compared with the unmanned running scheme of a conventional crane, artificial monitoring, intelligent detection and automatic running schemes are adopted.

The invention relates to the field of biological engineering, provides fused protein vector construction and expression detection technology and discloses an expression vector of a fused protein of glutamine transporter 1. The expression vector is prepared by the following steps that: the gene segment of the glutamine transporter 1, a gene segment of an HA (hemagglutinin) tag protein and a gene segment of an enhanced green fluorescence protein are sequentially connected and constructed on an eukaryotic expression vector pBK-CMV delta; the C terminal of the glutamine transporter 1 is directly connected with the N terminal of the HA tag protein; the C terminal of the HA tag protein is connected with the N terminal of the enhanced green fluorescence protein; and a hinge formed by 4 amino acid is arranged between the HA tag protein and the first amino acid M of the enhanced green fluorescence protein, wherein the sequence is GAAA, and the base sequence is ggagcggccgca. The prepared vector can be used for transporting SNAT1 (sodium-coupled neutral amino acid transporters) gene into eukaryocyte, so that the SNAT1 gene is massively expressed in the eukaryocyte; and the vector is an effective method for detecting expression, location and quantification of SNAT1 on an eukaryocyte membrane, so that the method can be applied to research of structure and functions of SNAT1.

The invention provides a computing node device, a control node device, a method and a system for cloud platform physical link connectivity detection. The computing node device comprises a Neutron-ovs-agent component, an Ovs component and a Ceilometer-poly-agent component, wherein the Neutron-ovs-agent component is used for storing the Ceilometer-poly-agent component into the Ovs component; the Ovscomponent detects whether the vlan range of the data network is connected or not in a mode determined by sending an icmp request message according to the vlan range of the virtual network to be detected; and the Ceilometer-poly-agent component is used for acquiring detection result information from a database corresponding to the Ovs component, and sending the detection result information to thecontrol node. According to the invention, the automatic connectivity detection on the data network card between the computing nodes in the dpdk scene can be realized, and the stability and security ofthe network are enhanced.

The invention relates to a multifunctional portable ergometer which is only a few kilograms in weight and can be carried about and used as a tool. The ergometer can perform strength detection on materials and articles on site and perform measuring accuracy detection and standard force exertion on a measuring apparatus. The ergometer is mainly formed by assembly of a gantry support, a spiral jack, a standard area force exertion plate, a high-precision sensor, a display instrument, a micro printer, batteries and other parts by adoption of a proper mechanical structure means.

The embodiment of the invention provides a blue screen reason determination method, a blue screen reason determination system, a computer readable medium and electronic equipment, and relates to the technical field of computers. The method comprises the steps of responding to a blue screen reason detection trigger event, determining at least one preset type of file according to a file retrieval rule in configuration information, wherein the preset type of file is a file generated when a blue screen event happens to a terminal; determining a target preset type file meeting a time threshold inthe at least one preset type file, wherein the time threshold value is a threshold value determined according to an accelerator program; and determining a blue screen reason according to the target preset type file. According to the technical scheme, the problem that the blue screen caused by the accelerator cannot be detected can be solved to a certain extent. The detection means of the blue screen caused by the accelerator is determined. Corresponding measures are taken for the reason of the blue screen. The frequency of occurrence of the blue screen is reduced, and the use experience of a user is improved.

The invention discloses an FPGA on-orbit debugging method for component flight verification, and the method comprises the following steps: S1, enabling a debugging client to be connected with a groundstation through a cable, enabling the ground station to initiate a transmission request to an on-orbit spacecraft antenna terminal through a satellite-ground communication link, waiting for the establishment of communication, and then the ground terminal initiating an FPGA downloading or debugging information transmission request; S2, after receiving the request information, the on-orbit spacecraft antenna terminal transmitting the connection establishment information to the MCU through the Ethernet; S3, the MCU receiving and analyzing an Ethernet data packet containing FPGA downloading or debugging information, and then sending the information to the FPGA through a user-defined JTAG link; S4, after receiving the information of the downloading or debugging information request ground station, the FPGA returning response information and handshake data to the MCU; and S5, after the MCU receives response information and handshake data returned by the FPGA, the information being transmitted to the on-orbit spacecraft antenna terminal through the Ethernet.

The embodiment of the invention discloses a particle sorting method and particle sorting equipment. The particle sorting method comprises the steps of carrying out first optical signal detection on a scattered light signal and a fluorescence signal which are generated after particles to be detected in a liquid flow chamber are irradiated by detection light, and carrying out imaging detection on the particles to be detected; analyzing the first optical signal detection result and/or the imaging detection result, and determining a sorting instruction; and sorting the to-be-detected particles according to the sorting instruction. According to the scheme of the embodiment of the invention, the sorting efficiency and sorting accuracy are improved.

The invention belongs to the technical field of medical examination, and particularly relates to application of a detection reagent of a urine marker combination related to nasopharyngeal carcinoma, the application is particularly application in preparation of products for diagnosis and/prognosis of nasopharyngeal carcinoma, the marker combination is Methyl (1-(cyclocylmethl)-1h-indide-3-carbonyl)-l-valine, Stacdrine, Decanoyl-1-carnitine and Octanoylcarnitine, and the CAS number of the marker combination is 1971007-94-9, 471-87-4, 1492-27-9 and 25243-95-2 in sequence. By quantitatively detecting the marker in urine of a subject, the incidence of nasopharyngeal carcinoma can be well predicted, and a specific, rapid and noninvasive detection means is provided for early diagnosis of nasopharyngeal carcinoma.

The invention provides an intersection detection method and system, a terminal and a computer readable storage medium, and the method comprises the steps: obtaining a road surface surround view, and extracting a ground marker from the road surface surround view, wherein the ground marker comprises a road indication straight line and/or a ground arrow; when the ground marker only comprises a road indication straight line, detecting an intersection appearing in the road surface surround view according to the road indication straight line; when the ground marker only comprises a ground arrow, detecting an intersection appearing in the road surface surround view according to the ground arrow; or when the ground marker comprises a road indication straight line and a ground arrow, detecting an intersection appearing in the road surface surround view according to the road indication straight line and the ground arrow. According to the intersection detection method and system, the terminal and the computer readable storage medium, intersection detection can be simpler, more efficient, quicker and more accurate.