77results about How to "Solve the technical problems of low detection efficiency" patented technology

The invention discloses a form data detection method and device, a storage medium and an electronic device. The method comprises the steps that a first form element is obtained on a form data detection client side, wherein the form data detection client side is used for detecting the first form element, and the first form element is a form element to be detected; a target detection rule file corresponding to first form element identification carried by the first form element is obtained, wherein the form data detection client side stores form element identifications and detection rule files, the form element identifications and the detection rule files have corresponding relationships, and the target detection rule file is used for indicating a target detection rule which the target form data carried in the first form element accords with; whether or not the target form data accords with the target detection rule is detected to obtain a detection result; the first form element with thecorresponding relationship, the target form data and the detection result are displayed on the form data detection client side. The method solves the technical problem that the detection efficiency is low when the form data is detected.

The invention discloses a method, device and system for detecting product packaging. The method comprises the following steps: acquiring information to be detected of a target object; generating detection tasks according to the information to be detected; determining a target detection terminal for carrying out the detection tasks from at least one detection terminal according to a preset distribution rule; and distributing the detection tasks to the target detection terminal. The technical problems that by an existing scheme for detecting product packaging, the detecting efficiency is not high due to mismatching between the processing speed of acquiring equipment and the processing speed of detecting equipment are solved.

The invention relates to a conic spring pre-pressing and detecting all-in-one machine and a detecting method thereof. The all-in-one machine comprises a workbench (1). Two sets of parallel conic spring conveying devices are mounted on the workbench (1). A pre-pressing detecting and disqualified product removing device and a concentricity detecting and disqualified product removing device are sequentially arranged corresponding to the conic spring conveying devices correspondingly from left to right along the workbench (1). Compared with the prior art, the conic spring pre-pressing and detecting all-in-one machine has the beneficial effects that a man-machine interface and PLC control are adopted, the two sets of conic spring conveying devices are arranged on the workbench at the same time, and a continuous, efficient and high-quality conic spring dual-station semi-automatic detection flow production line can be achieved in the manner of integrating pre-pressing and detecting through man-machine integration; the work of detecting conic spring mechanical performance parameters is achieved mainly through the detecting method of pre-pressing, moment and height detection and judgment and concentricity detection and judgment; operation is simple and convenient; the safety coefficient is high; and detection efficiency is high.

The embodiment of the invention relates to the technical field of farmland intelligent management, and discloses a method and system for determining the water content of field crops under multiple spectrums and equipment. According to the embodiment of the invention, the method comprises the steps: acquiring to-be-processed multispectral remote sensing data corresponding to field crop leaves; processing the to-be-processed multispectral remote sensing data to obtain vegetation index data; performing image synthesis operation based on the vegetation index data to obtain a target image; and processing the target image according to a preset inversion model to obtain current crop water content information. Therefore, according to the embodiment of the invention, the water content of the current crop is determined through the target image instead of measuring the water content of the crop on site by using an instrument, so that the detection speed is greatly increased, and the technical problem of low detection efficiency when the water content of field crops is detected is solved.

The invention provides a method and a device for detecting an application program version. The method comprises the following steps: reading a physical server address of an application program of which the version is to be detected from a version repository; obtaining a previously set detecting rule relevant to the application program of which the version is to be detected from a data storage device; detecting the application program in the physical server address according to the obtained detecting rule. The method and the device solve the technical problem of lower detecting efficiency caused by that the version of each application program in the version repository is detected by artificial means in the prior art, so that aims that the detecting efficiency is effectively increased and the accuracy of detected results is improved are realized.

The invention discloses a circuit board fault detection system comprising: an image acquisition unit, the image acquisition unit is used to acquire circuit board surface image information; a signal acquisition unit, the signal acquisition unit is used to acquire circuit board signal information; an analysis unit, the The analysis unit is used to analyze the fault of the circuit board based on the image information and the signal information to obtain analysis data; the generation unit is used to generate a detection report based on the analysis data, realizing The system design is reasonable, the detection of the circuit board is automatically completed, and the technical effect of high detection efficiency is achieved.

The invention discloses a needle gauge processing precision detection apparatus including a detection platform, a weight detection unit, a dimension detection unit, a roughness detection unit, and a hardness detection unit, the detection platform detects a needle gauge to be detected and is provided with a manipulator which is used for carrying the needle gauge to be detected, the weight detection unit detects the weight of the needle gauge to be detected, the dimension detection unit detects the dimension information of the needle gauge to be detected, the roughness detection unit detects the surface roughness of the needle gauge to be detected, and the hardness detection unit detects the hardness of the needle gauge to be detected. The needle gauge processing precision detection apparatus is high in needle gauge processing precision detection efficiency.

The invention provides an intelligent watch and a blood oxygen detection method. The intelligent watch comprises a watch bezel, a watchcase, a bottom ring, top glass, a chassis, a cell, a driving circuit board and a timer. The watch bezel is arranged in the periphery of the upper side of the intelligent watch; and the watchcase is arranged in the periphery of the upper side of the intelligent watch; the bottom ring is arranged in the periphery of the lower side of the intelligent watch; the center of the bottom ring is provided with a through hole; the top glass is arranged on the watch bezel, and cooperates with the watch bezel, the watchcase and the bottom ring to form an accommodation space; the chassis is arranged in the through hole, and is provided with an electrocardio collection module and a blood oxygen collection module; the cell is arranged in the accommodation space on the chassis, and supplies power to the intelligent watch; the driving circuit board is arranged in the accommodation space on the cell, and is used to drive the electrocardio collection module and the blood oxygen collection module; and the time is arranged in the accommodation space on the cell, and used to implement a timing operation.

The invention discloses an object identification method and device. The object identification method comprises steps of: acquiring a construction image, wherein the construction image at least comprises a to-be-identified object, and the to-be-identified object at least comprises one of a safety facility located at an electric power construction site and a safety protection tool worn by a construction object at the electric power construction site; identifying the construction image based on a target detection model to obtain an identification result, wherein the target detection model is trained by using multiple groups of data through a multi-branch deep network, and each group of data in the multiple groups of data comprises the construction image and the to-be-identified object identified in the construction image; and determining whether the construction object has a violation behavior according to the identification result. According to the object identification method and the device, the technical problem of low detection efficiency caused by manual inspection of violation behaviors of the power construction site in the prior art is solved.

The invention provides a circuit board detection device and a test system, relates to the technical field of circuit board detection and aims at solving the problem that the detection efficiency of the FPC soft board is low. The circuit board detection device comprises a body. A detection mechanism, a marking mechanism, a moving mechanism and a control system are arranged in the body. The detection mechanism, the marking mechanism and the moving mechanism are respectively connected with the control system. The detection mechanism includes a first driver and a detection needle used for detecting materials. The first driver drives the detection needle to move in the first direction; the marking mechanism comprises a second driver and a marking element. The marking element is used for markingthe material which is not qualified on the detection result. The second driver drives the marking element to move; the moving mechanism is used for driving the material to be detected to move in thesecond direction to reach the detection area of the detection needle and the marking area of the marking element. The circuit board detection device is applied to the FPC soft board detection, integrated with movement, detection and striking functions, and has high automation degree and high efficiency.

The invention discloses an anomaly detection method and device for user data values, a storage medium and an electronic device. The method comprises the steps that user data values to be detected areextracted from user log files; first data values which are not included in a target data range are obtained from the user data values to be detected; a deviation value corresponding to each data valuein the first data values is obtained, wherein the deviation values are used for indicating the deviation degree of each data value deviating from the corresponding second data value, the distances between the second data values and each data value in the first data values meet target conditions, and the greater the deviation values are, the higher the deviation degrees are; it is determined thatthe data values, with the deviation values greater than or equal to target values, in the first data values are abnormal data values in the user data values. By adopting the method, the technical problem is solved that the detection efficiency of abnormal user data values is lower in the related art.

The invention discloses an intelligent equipment production test method and device and an electronic device. The method comprises the steps: acquiring first identification information of a wireless communication module of a target intelligent device, wherein the first identification information is used for identifying identity information of the wireless communication module; searching second identification information associated with the first identification information in a database, the second identification information being used for identifying device information of the target intelligentdevice; sending the second identification information to a communication module to enable the second identification information to be stored in the target intelligent equipment, wherein completion indication information is sent by the target intelligent equipment after completion of storage; under the condition that the completion indication information is received, determining that the production test of the target intelligent device is completed. The purpose of rapidly testing whether the intelligent device is qualified or not according to the identification information of the Wi-Fi moduleand the identification information of the target intelligent device is achieved, and then the technical problem that in the related art, the detection efficiency of the intelligent device is low is solved.

The invention discloses a vulnerability detection method and device in a cloud technology scene, a storage medium and electronic equipment, and particularly relates to technologies such as protectionin the field of cloud security. The method comprises the following steps: calling a probe function built in a custom function in a target system to detect first data so as to obtain a first detectionresult; under the condition that the first detection result indicates that the first data is not abnormal, processing the first data by utilizing a custom function to obtain second data; under the condition that the second data is returned to the custom function, calling the probe function to detect the second data to obtain a second detection result, wherein the second detection result is used for indicating whether the target system has vulnerabilities or not. The technical problem of low vulnerability detection efficiency is solved.

The invention discloses a leak current fault detecting method and device. The method includes the steps of acquiring a current voltage value of each of three phase lines of a power transmission line to a ground; detecting whether or not the phase lines having a difference between the current voltage value and a normal voltage value being greater than a preset threshold exist in the three phase lines; if yes, marking the detected phase lines as phase lines having leak current fault. The current voltage value of each of the three phase lines of the low-tension distribution network power transmission line to the ground is acquired; according to the fact of whether or not the phase lines having the difference between the current voltage value and the normal voltage value being greater than the preset threshold exist in the detected phase lines, the phases having the leak current fault are judged; thus, the technical problem that the related part of leak current fault detection is low in detection efficiency is solved.

The invention relates to a sag detection device for a power transmission line. The device comprises a positioning device and a monitoring device. The positioning device is arranged in the middle of apower transmission line at the lowest point of the power transmission line; a control unit, a positioning module, an inclination angle sensor, a distance measuring base station A, a power supply A anda wireless transceiving module are arranged in the positioning device; the positioning module is connected with the control unit; the inclination angle sensor is connected with the control unit; thewireless transceiving module is connected with the control unit; the power supply A provides power for the control unit and the distance measuring base station A. The monitoring device is fixedly installed at the joint of an electric pole and the power transmission line. A control chip, a wireless receiver, a network communication module, a distance measuring base station B and a power supply B are arranged in the monitoring device, the wireless receiver is connected with the control chip, the network communication module is connected with the control chip, the testing base station B is connected with the control chip, and the power supply B provides electric energy for the control chip and the distance measuring base station B. The method has the advantages of being good in detection effect, easy to use and high in accuracy.

The invention discloses a cable terminal abnormity diagnosis method and device based on an infrared image. The method comprises the following steps: acquiring an infrared image of a to-be-tested cable terminal; analyzing the infrared image to obtain the surface temperature of the cable terminal to be measured in the infrared image; comparing the surface temperature with a preset temperature threshold to obtain a comparison result; and determining whether the to-be-tested cable terminal is abnormal or not according to the comparison result. According to the invention, the technical problem of low detection efficiency caused by manually detecting whether the cable terminal is abnormal or not in the prior art is solved.

The invention provides an intelligent watch and a blood pressure detection method. The intelligent watch comprises a watch bezel, a watchcase, a base ring, top glass, a base plate, a battery, a drive circuit board, and a timer. The watch bezel is disposed at the periphery of the upper side of the intelligent watch. The watchcase is disposed at the periphery of the central side of the intelligent watch. The base ring is disposed at the periphery of the lower side of the intelligent watch, and the center of the base ring is provided with a through hole. The top glass is disposed on the watch bezel, and cooperates with the watch bezel, the watchcase and the base ring to form an accommodation space. The base plate is disposed in the through hole, and is provided with an electrocatdiogram collection module and a blood oxygen collection module. The battery is disposed in the accommodation space on the base plate, and is used for supplying power to the intelligent watch. The drive circuit board is disposed in the accommodation space on the battery, and is used for driving the electrocatdiogram collection module and the blood oxygen collection module to operate. The timer is disposed in the accommodation space on the battery, and is used for carrying out timely operation.

The invention discloses an automatic detection system for food additives, which includes: an extraction unit, which is used to extract samples from the food to be tested; an analysis unit, which is used to analyze the types of food additives in the samples; a classification unit, the The classification unit is used to divide the sample into a corresponding number of sub-samples based on the number of types of food additives in the sample; the detection unit is used to perform corresponding food additive detection based on the type of food additives in the sub-samples, realizing a reasonable system design, automatic The detection of food additives in food, the technical effect of high detection efficiency.

The invention discloses a temperature simulation detection device and system of an air conditioner electric control plate. Virtual resistance with different resistance is acquired according to an incident relation between a resistance value and a PWM duty ratio and determined reference resistance and by combining PWM signals with variable duty ratios and is used for substituting resistance of resistance-fixed entity to perform temperature simulation detection of the air conditioner electric control plate, the defect that temperature simulation detection of an existing air conditioner electronic control plate needs to replace entity resistance to change test resistance is prevented, and the technical problem of low detection efficiency caused by an existing simulation temperature detectionmode is solved.

The invention discloses a detection method, device and system of a command and control channel. The method comprises the following steps: acquiring a first request sequence of a to-be-detected object,wherein the first request sequence comprises multiple domain name resolution requests; changing sending order of multiple domain name resolution requests in the first request sequence to obtain a second request sequence; sending the second request sequence to a target server, and receiving a first response sequence returned by the target server according to the second request sequence; obtaininga first detection result of the to-be-detected object according to the first response sequence, wherein the first detection result is used for representing whether the to-be-detected object uses the command and control channel. Through the detection method disclosed by the invention, the technical problem that the command and control channel in the prior art is low in detection efficiency is solved.

The invention discloses a silent human face living detection method and device, a storage medium and a processor. The method comprises the following steps: training a preset face detection model and apreset overall face feature model according to a preset face picture data set; training the preset face region feature model according to the preset face picture data set and the preset face detection model reaching the convergence state; the preset face detection model, the preset global face feature model and the preset face region feature model are cascaded to obtain the living body detectionmodel; training the living body detection model according to the preset face picture data set; according to the convergent state of the living detection model to be detected face image detection, obtaining the detection results. The invention solves the technical problem that the detection efficiency of the human face living body detection in the prior art is low.

The invention discloses a fast face detection method and device. The method comprises the following steps: adopting the preset P- NET cascade network in an MTCNN algorithm model and outputting candidate window and boundary regression vector; and inputting the output result into R-NET cascade network to remove the overlap window and the overlap window, and outputting and displaying a target windowand a face key point in O-NET cascaded network. The present application solves the technical problem of low face detection efficiency. By the method of the present application, the face detection speed of the MTCNN algorithm model is accelerated. In addition, the SSD face detection method is combined with Viola- Jones cascade structure is integrated, which not only maintains Viola-Jones cascade structure and further accelerates the computation speed of traditional structure in detail.

The invention discloses a virus detection method and device, a storage medium and a processor. The method comprises the steps that a to-be-detected object is obtained; the to-be-detected object is compared in a preset library according to the comparison order of characteristic strings, multiple characteristic strings corresponding to different viruses are saved in the library, the only characteristic string capable of identifying the viruses in the multiple characteristic strings corresponding to the viruses is compared first; whether the to-be-detected object is the virus or not is determinedaccording to the comparison result. According to the technical scheme, the technical problem that in the related technology, the virus detection efficiency is low is solved, and the detection efficiency of virus detection is improved.

The invention discloses a software reliability detection method and device. the method includes the steps of obtaining a pattern, displayed in a touch screen area of a mobile terminal, of software running in the mobile terminal, obtaining edge information used for indicating the edge of the pattern through edge detection of the pattern, obtaining position information of a detection point used for detecting the software reliability according to the edge information, sending detection request information to the mobile terminal, and receiving a detection result fed back by the mobile terminal for responding to the detection request information, wherein the detection request information at least carries the position information of the detection point and touch screen operation instruction information, and the detection result is obtained due to the fact that the mobile terminal executes operation indicated by the touch screen operation instruction information on the position indicated by the position information of the detection point. The method and device solve the technical problem that detection efficiency is low, and has the technical effect of improving detection efficiency.

The invention discloses a screw detection method and device. The method comprises the steps that screws are placed on glass discs of a screw detector in sequence, and the pulse quantity of each screwon the glass disc is obtained; a first image of the first part of the screw is obtained under the condition that the pulse quantity of the screw reaches a preset first pulse threshold value; the firstpart of the screw is detected according to the first image to obtain a first detection result; a second image of the second part of the screw is obtained under the condition that the pulse quantity of the screw reaches a preset second pulse threshold value; the second part of the screw is detected according to the second image to obtain a second detection result; and the integral detection resultof the screw is determined according to the first detection result and the second detection result, and the screw is processed according to the integrated detection result. By virtue of the method, the problem of relatively low screw detection efficiency caused by the fact that the screw cannot be accurately controlled by a non-graduated disk type screw detector for detection is solved.

The invention provides a detection method and device for a protective bearing of a magnetic suspension bearing, and relates to the technical field of equipment detection, and the method comprises the steps: controlling a rotor of the magnetic suspension bearing to carry out the circular motion along the edge of the protective bearing in the magnetic suspension bearing; according to the preset frequency, collecting the voltage value of the position sensor, wherein the voltage value is used for representing the position information of the rotor; determining a position point of the rotor based on the voltage value; and determining whether the protective bearing of the magnetic suspension bearing is damaged based on the position point of the rotor and a preset motion trail, the preset motion trail being used for representing the motion trail of the rotor when the protective bearing of the magnetic suspension bearing is not damaged. The problem that whether the protective bearing of the magnetic suspension bearing is damaged needs to be detected manually, and the detection efficiency is low in the prior art is solved.

The present invention discloses a power data detection method and apparatus. The method comprises: acquiring prestored power data of power equipment, wherein the power data comprises equipment data of the power equipment and field data of the power equipment; according to the equipment data and the field data, obtaining an availability rate of the power data; determining whether the availability rate is lower than a predetermined availability rate threshold; and when the availability rate is lower than the predetermined availability rate threshold, updating the power data. The power data detection method and apparatus provided by the present invention solve the technical problem of low power data detection efficiency.

The invention provides a receiver performance detection method, device and system, and the method comprises the steps: obtaining the pressure data detected by a pressure detection element in a receiver, the pressure detection element being used for detecting the pressure data generated by a sound wave in the receiver; analyzing the pressure data to obtain an analysis result; and the performance ofthe receiver being determined according to the analysis result, so that the technical problem of low detection efficiency due to the fact that the performance of the receiver can be detected only bydisassembling the receiver is solved.