73results about How to "Avoid troubleshooting" patented technology

The invention provides a line detection fault rapid positioning detection system based on satellite communication. The system includes a plurality of sensors, at least one repeater, a fault monitoringserver and a terminal, the repeaters are connected to the sensors, the fault monitoring server is connected with the terminal and each repeater, the sensors include a processor, a storage, a satellite positioning module, a local area network networking module, a sensing acquisition module and a power module, the processor is connected with the storage, the satellite positioning module, the localarea network networking module, the sensing acquisition module and the power module, the power module is connected with the storage, the satellite positioning module, the local area network networkingmodule and the sensing acquisition module, and the local area network networking module is connected to the repeater, thereby facilitating use of a user.

The invention relates to a compiling inspection method and device. The method comprises the following steps: determining that the compiling of the target code of each project in a system fails; obtaining the edition information of the target code of each project and the preset edition information of the history code of the project when the compiling succeeds; when the edition information of the target code of the same project is different from the edition information of the history code, outputting a prompting message which is used for checking the project, so that related personnel can check the screened alternative projects from the output prompting message and the related personnel can be prevented from checking from all the projects, thereby improving the efficiency of determining the project which causes the compiling failure.

The invention discloses an information system creating method and a related device. When a user needs to create a target information system, creating information only needs to be input through the visual interface, a front-end style and a function module of the target information system is generated by utilizing the creation information. The data processing logic and the function realization logicare respectively set in advance. In a creating process of a target information system, determining corresponding target data processing logic and target function realization logic according to the function module and the corresponding source database table. The data processing logic and other corresponding functions can be realized when the target information system is used, and a creator does not need to manually compile the data processing logic and the function realization logic. Therefore, the code development amount in the information system creating process can be effectively reduced oreven avoided, the technical requirement for developers is reduced, the development period is shortened, and the development efficiency is improved.

The invention discloses a method and system for monitoring a program execution path on the basis of deep learning, and relates to the technical field of computer security. The method includes the steps of firstly, inserting detecting points for functions in a program, obtaining the return addresses of the functions during running, and tracing back to find function addresses of the functions through a stacker pointer; secondly, obtaining function address intervals of all functions in a user layer and/or a system layer, comparing the function addresses with a function address space, and obtaining function names corresponding to the function addresses; thirdly, obtaining the calling path of the functions in the program in the user layer and/or the system layer according to the return addresses, the function address space and the function names; fourthly, deeply learning the program, obtaining the calling features of the functions in the program, generating a calling feature library, and comparing the calling path with the calling feature library so as to complete the monitoring of the program execution path.

The invention discloses an industrial explosive roll transmission attitude identification and diagnosis system and a method thereof. The system comprises an imaging subsystem (1), an image acquisition and preprocessing subsystem (2), an explosive roll transmission attitude online detection subsystem (3), an alarming and processing subsystem (4) and a parameter rule storage subsystem (5), wherein the signal input end of the image acquisition and preprocessing subsystem (2) is connected with the signal output end of the imaging subsystem (1); the signal input end of the explosive roll transmission attitude online detection subsystem (3) is connected with the signal output end of the image acquisition and preprocessing subsystem (2) and the parameter rule storage subsystem (5); and the signal output end of the online explosive roll transmission attitude detection subsystem (3) is connected with the alarming and processing subsystem (4). By the industrial explosive roll transmission attitude identification and diagnosis system, the automation degree of an explosive packaging production line can be increased; the number of workers is reduced; and the safety is high. The industrial explosive roll transmission attitude identification and diagnosis method is convenient to operate and high in practicability.

The invention discloses a high-voltage interlocking fault self-diagnosis circuit, a control method and a new energy automobile. The high-voltage interlocking fault self-diagnosis circuit comprises a Vcc power supply, a low-voltage plug-in, a fault display circuit, a high-voltage contactor control circuit, a high-voltage contactor driving circuit and a current-limiting resistor. The self-diagnosiscircuit can detect the electrical connection integrity of a high-voltage loop; the abnormal high-voltage component can be accurately positioned and disconnected or connected, and meanwhile, power supply of the high-voltage component can be rapidly cut off; and the high-voltage interlocking fault self-diagnosis circuit, the control method and the new energy automobile are economical, simple, high in reliability, rapid in reaction and high in fault detection efficiency, and the safety of the user and the vehicle can be guaranteed to the greatest extent.

The invention discloses a profiling variable sprayer based on phenotypic characteristics of crowns, and a self-adaptive control method. The profiling variable sprayer comprises a profiling mechanism module A, a profiling mechanism module B, a lifting and sliding module, a profiling bracket module, a liquid supply system, an electrical box and a detection module; on the basis of function and mechanism division of the profiling sprayer, modular and lightweight design is adopted; and the whole machine has the characteristics of being compact in structure, light, flexible, easy to manufacture andmaintain and the like. The self-adaptive control method of the profiling variable sprayer is as follows: ultrasonic echo signals are automatically acquired and processed, so that phenotypic characteristic information of a tree canopy is obtained; then, the air volume is calculated according to the volume of the canopy and phenotypic characteristic parameters of the canopy density; and the spray quantity is calculated according to the volume of the canopy and the phenotypic characteristic parameters of the canopy leaf area density. A profiling mechanism is driven to profile according to the profiling control amount calculated through ultrasonic ranging information; automatic profiling on the profile of a crown is realized; and the profiling variable sprayer is high in profiling precision, precise and high-efficiency to spray, pesticide-saving, environment-friendly, and simple and convenient to operate.

The invention discloses a base station uplink external interference processing apparatus, a base station uplink external interference processing method and a base station uplink external interference processing system. The apparatus comprises an antenna feed end duplexing module, an uplink attenuation module, and a main device end duplexing module, wherein a signal sent by an antenna system in a base station is subjected to uplink and downlink signal separating operation by the antenna feed end duplexing module, and a separated uplink signal is sent to the uplink attenuation module by the antenna feed duplexing module; the uplink attenuation module is used for attenuating the uplink signal sent by the antenna feed end duplexing module and is used for transmitting the attenuated uplink signal to the main device end duplexing module; the main device duplexing module is used for transmitting the attenuated uplink signal to main equipment in the base station, wherein the attenuated uplink signal is sent by the uplink attenuation module. Through adoption of the base station uplink external interference processing apparatus, the base station uplink external interference processing method and the base station uplink external interference processing system, uplink and downlink signals can be separated, the uplink signal alone can be subjected to attenuation processing, and that the interference is internal abnormity or external interference can be determined; the speed rate and the quality of base station uplink data can be recovered, the uplink signal and the external interference received by the base station can be distinguished, interference processing efficiency can be improved, and the performance of base station data business and user experience can be further guaranteed.

A software version testing method and system for embedded device. In the first aspect, since the software version testing system includes a server, the controller can directly access the server to obtain the software version to be tested, thus avoiding the tedious operation phenomenon of manual downloading and compiling the software code in the past; In the second aspect, because the server completes the compiling process of the software code, it is equivalent to share the compiling task of the controller, which is beneficial to reduce the resource overhead of the controller and accelerate therunning speed of the system. In the third aspect, because the controller tests the embedded device through the test script, it effectively avoids the situation of artificial going through all the functional modules, so that the test efficiency is greatly improved, and it can also meet the requirements of the full verification of each functional module.

The invention discloses a profiling variable spraying machine based on crown phenotypic characteristics and a profiling control method. The profiling variable spraying machine comprises a profiling mechanism module A, a profiling mechanism module B, a lifting sliding module, a profiling support module, a liquid supply system, an electric box and a detection module. On the basis of function and mechanism division of the profiling variable spraying machine, modular and lightweight design is adopted, and the whole machine has the advantages of being compact in structure, light, flexible, easy tomanufacture and maintain and the like. The self-adaptive profiling control method of the profiling variable sprayer comprises the steps that ultrasonic echo signals are automatically collected and processed to obtain tree canopy phenotypic characteristic information, and then the spraying amount is calculated according to canopy volume and canopy leaf area density phenotypic characteristic parameters; the profiling control quantity is calculated through the ultrasonic ranging information, the profiling mechanism is driven to conduct profiling, automatic profiling of the crown outline is achieved, the profiling precision is high, spraying is accurate and efficient, pesticide is saved, the environment is protected, and operation is easy and convenient.

The invention discloses a self-checking method of an automatic over-phase control system of a motor train unit. Firstly, an output signal of the automatic over-phase control system is cut off, and then whether a static photoelectric coupling circuit is output, whether a comparator circuit is output, the magnitude of a signal value received by a vehicle-mounted receiving inductor and a disconnection detection threshold voltage value and the magnitude of a short-circuit detection threshold voltage value are compared in sequence, and detection is carried out according to whether a dynamic photoelectric coupling circuit in each sales output state is output or not. According to the comparison between the detection result and the preset value, whether and where a fault exists is judged, and a fault alarm is input to a man-machine display unit, and a fault code is displayed according to the corresponding protocol. The self-checking method of an automatic over-phase control system of the motortrain unit effectively solves the problems that in the prior art that only open circuit detection exists and short circuit detection does not exist and the fault position cannot be accurately located.

The invention discloses a braking force monitoring method for an elevator traction machine based on big data. The method comprises the following specific steps: S1, mounting and wiring monitoring equipment; S2, sequencing and storing monitoring data; S3, extracting the monitoring data; S4, generating a standard reference power range value; S5, carrying out contrastive analysis of the monitoring data; and S6, monitoring remote monitoring staff in real time. The invention relates to the technical field of elevator monitoring. According to the braking force monitoring method for the elevator traction machine based on big data, the time-validity of elevator monitoring can be improved greatly, troubleshooting in long-term use of an inner structure of an elevator can be avoided, accidental elevator failures are monitored, too, so that the elevator traction machine is monitored in real time in a using process of the elevator. The monitoring data is analyzed and transmitted, so that a purposeof finding failures quickly and maintaining the elevator by elevator monitoring staff is achieved by monitoring the elevator in real time.

The invention relates to an artificial intelligent (AI) production line control method. The method includes data cloud establishing, data analysis and feedback closed loop forming, so that an artificial feedback closed loop is finally quantized into SPC and converted to an automatic feedback closed loop. The automatic feedback closed loop may be improved along with time so as to form a positive cycle, so that AI is optimized and iterated continuously. Finally, a mature production line can be controlled completely through AI and all problems can be solved in a preventive manner. According to the invention, online storage of data replaces offline storage and hidden problems are handled automatically through AI; data analysis replaces manual experiments for searching problems. Explicit problems are prevented automatically and an SPC analyzing method prevents abnormities of different working procedures. Therefore, problems of inaccuracy of materials of corresponding working procedures of the production line, insufficient data utilization rate, incapability of predication of explicit problems of different working procedures of the production line, incompleteness of troubleshooting levelof hidden problems of the production line are solved, and aims of saving production cost and improving troubleshooting efficiency are achieved.

According to a high-voltage interlocking detection circuit and a fault detection method disclosed by the invention, an open-circuit fault voltage threshold and a short-circuit fault voltage threshold are preset, and the connection state of the whole high-voltage loop can be detected in real time by controlling the on-off and step-by-step detection of the controllable switch in the control detection switch circuit, the early interlocking fault of poor contact of the high-voltage component can be effectively detected, and the high-voltage component is prevented from working with faults under the condition of poor contact. Due to the independent detection of each control detection switch circuit and the high-voltage component connected with the control detection switch circuit, the fault occurrence point of the high-voltage interlocking loop can be effectively detected, the manual troubleshooting of each section of line and each high-voltage component is avoided, and the troubleshooting efficiency is effectively improved.

The invention provides a virtual machine fault processing method and a virtual machine fault processing device. The virtual machine fault processing method is applied to an application delivery gateway. The method includes the following steps that: whether a virtual machine is in a fault state is detected; and a virtual machine restart request is sent to a virtual machine control device according to a detection result, so that the virtual machine control device can restart the virtual machine according to the virtual machine restart request. According to the virtual machine fault processing method and the virtual machine fault processing device of the invention, troubleshooting is carried out on the virtual machine through the application delivery gateway, and the fault of the virtual machine is processed through the virtual machine control device, and therefore, manual intervention in the troubleshooting and processing process of the virtual machine can be avoided, and thus, the effectiveness of the troubleshooting and processing of the virtual machine can be improved.

The invention relates to a distribution network equipment group state evaluation method, device and system and a computer storage medium, and the method comprises the following steps: building a second-level evaluation index set corresponding to a to-be-evaluated equipment group, and building a comprehensive first-level index corresponding to the second-level evaluation index set; establishing andprocessing a directed relation matrix corresponding to the second-level evaluation index set to obtain a second-level index importance degree value corresponding to each second-level evaluation index; establishing a lambda fuzzy measurement model based on the importance degree value of each secondary index; obtaining fuzzy measure values corresponding to the secondary evaluation indexes accordingto the lambda fuzzy measure model; and obtaining a first-level index evaluation value corresponding to the to-be-evaluated equipment group according to each fuzzy measure value and each preset second-level index score value. According to the invention, equipment group division is carried out on the distribution network equipment and state evaluation is carried out on the equipment group by usingthe fuzzy measure, so that single-machine troubleshooting is avoided, the workload is reduced and the state evaluation efficiency is improved.

The embodiment of the invention provides a dust removal fan operation monitoring method and system. The dust removal fan operation monitoring method comprises the steps that an operating state of a dust removal fan is monitored; and if the dust removal fan stopping operating is judged and known in the monitoring process, according to a pre-configured image display parameter, corresponding prompt information is displayed in a monitoring picture at an expansion line hot end, and the prompt information is used for indicating the dust removal fan stopping operating. According to the dust removal fan operation monitoring method and system, dust removal fan stopping operating is judged and known in the monitoring process, according to the pre-configured image display parameter, the correspondingprompt information is displayed in the monitoring picture at the expansion line hot end, so that after hard shutdown occurs to a hot end total line, maintenance personnel can timely find parking caused by stopping operation of the dust removal fan through the prompt information, the situation that the maintenance personnel performs fault checking on various equipment in the hot end is avoided, the maintenance time is shortened and fault downtime is reduced, and wasting of resources caused by combustion furnace empty combustion is reduced.

The invention discloses a method for classifying and handling interference problems in a numerical control pipe bending process. The problems are classified as follows: two kinds of interference problems mainly appear in the steel pipe numerical control bending process, one is that steel pipes make interference with the ground, thereby being incapable of being bent, and the other one is that the steel pipes make interference with a machine tool structure, thereby being incapable of continuing to be bent; interference between the steel pipes and the ground is classified into two kinds, one is that the steel pipe bending action process except for the final position makes interference with the ground, and the other one is that the steel pipe final bending position makes interference with theground; and interference between the steel pipes and the machine tool structure is classified into two kinds, one is that the steel pipe bending process except for the final position makes interference with a machine tool, and the other one is that the steel pipe final bending position makes interference with the machine tool. The method solves the common interference problems in the steel pipe numerical control bending process. By generalizing the common pipe bending interference problems and giving corresponding solving methods, the overall problem brought by adding a transition connection point is avoided, and the steel pipe bending strength of enterprises is improved.