18results about How to "Improve management and control efficiency" patented technology

The invention relates to the technical field of visual inspection, and discloses a label surface pattern online detection device which comprises a main body box, detection tables are symmetrically arranged on the upper surface of the main body box, label bodies are placed on the upper surfaces of the detection tables, a supporting frame is arranged above the main body box, and a control box is fixedly installed at the top of the supporting frame; a detection head is fixedly connected to the bottom of the control box, a displayer is fixedly installed on the side face of the main body box, a leveling assembly is arranged above the detection table and comprises movable rolling wheels, the rolling wheels can roll along the surface of the label main body to level the surface of the label main body, and through the leveling assembly, after the rolling wheels are attached to the surface of the label main body, the surface of the label main body is leveled; the rolling device can roll along the surface of the label main body to flatten the surface of the label which may have wrinkles or bends, so that the influence of unevenness of the surface of the label on a detection result is eliminated, the surface of the label is in a flat state, and a detection head can accurately collect information of patterns on the surface of the label.

The invention belongs to the technical field of computer information security, and particularly relates to a human body posture data access system and method based on hierarchical encryption and dynamic access control. The method is executed by a data management platform server, and specifically comprises the following steps: receiving original human body posture data, and dynamically dividing the original human body posture data into a plurality of data layers with different sensitivity levels based on a multi-dimensional privacy sensitivity quantification result of the data; formulating different access control strategies for each data layer, and executing corresponding encryption operation on each layer of data; and executing identity verification and authorization operation based on the access request. The invention provides a human body posture data privacy protection management scheme which is balanced in control granularity and data utility, balanced in authority management and security demand and compliant in law.

The invention discloses a tourist attraction abnormal behavior recognition and early warning system combined with deep learning, and the system comprises a data collection module which is disposed in a plurality of key regions in a tourist attraction, and is used for collecting multi-mode perception data including tourist images, video streams, position information, and environment data in real time. The feature extraction module and the behavior analysis module automatically capture hidden risk precursors such as crowd density rising and abnormal moving directions by means of a deep learning model, mass events such as trampling and congestion are pre-judged in advance through a quantitative standard, conversion from passive response to active early warning is achieved, the dynamic track management module carries a pedestrian re-recognition technology, and the pedestrian re-recognition technology is used for carrying out pedestrian re-recognition. The method can automatically extract core features of abnormal tourists and complete cross-camera identity association, can achieve seamless tracking in a large passenger flow scene and a similar tourist clothes scene, combines a target trajectory and a moving state, prejudges a future moving trend, guarantees that an abnormal subject is controllable in the whole process, and greatly improves the management and control efficiency.

This invention discloses a pipeline construction monitoring method and system based on image recognition, belonging to the field of pipeline construction technology. The method includes: projecting a light spot array onto a monitoring scene containing welds; analyzing the displacement of the light spot array in an image sequence to resolve affine transformation parameters and generate a global motion flow field; using the global motion flow field to perform inverse compensation on the image sequence to generate a physical calibration sequence; performing signal analysis on each pixel in the time dimension on the physical calibration sequence to generate a temporal modulation intensity map, and performing morphological dilation and connected component analysis on the temporal modulation intensity map. This method can suppress the dual interference of high-concentration metal dust and high-frequency vibration of equipment during underground shield tunnel construction. It achieves inverse jitter compensation by resolving motion parameters through the light spot array, and eliminates the influence of dust occlusion by combining temporal analysis and texture reconstruction techniques, avoiding the problem of traditional methods accidentally erasing defect features during noise reduction.

The invention provides a compliance management and control method and device for vehicle testing, equipment and a medium, and the method comprises the steps: obtaining the vehicle position of a tested vehicle and corresponding video road condition information in a testing process; determining a target road corresponding to the test vehicle and a current road type of the target road according to the vehicle position and the video road condition information; determining the test compliance of the test vehicle according to the target road, the current road type, a tested road corresponding to the test vehicle and a target test rule in response to the fact that the current road type is a working condition road or a side road; generating non-compliance alarm information in response to the fact that the test compliance is non-compliance; and if the test compliance is compliance, returning to execute the step of obtaining the vehicle position of the test vehicle and the corresponding video road condition information in the test process. According to the technical scheme of the invention, the management and control efficiency and the management and control effect of vehicle testing are improved.

The utility model relates to the technical field of safety hooks, in particular to an information monitoring device for a safety hook, which comprises a containing box body and the safety hook. Compared with the prior art, the safety hook and the containing box body are arranged, the pressure sensor is arranged on the safety hook, and the processing module, the loudspeaker and the height position sensor are arranged in the containing box body, so that when an operator uses the safety hook, the safety hook is hung on an external bearing handrail or a pipe fitting; the pressure sensor sends an electric signal to the processing module, meanwhile, an operator rotates the locking arm sleeve to enable the two contacts to be communicated, and if the two contacts are not communicated, the processing module controls the loudspeaker to give an early warning to the operator along with the fact that the height position sensor measures signals and inputs the signals to the processing module; meanwhile, related data are uploaded to the Internet through a 4 / 5G module and transmitted to a control background server, so that the use condition of the safety hook is monitored at the non-starting stage of construction, and the safety of construction is ensured.

The application discloses a data version management method and device, equipment and a storage medium, which can be applied to an enterprise resource planning system. The method comprises the following steps: reading the registration information of a target transaction entity group in response to a transaction rollback instruction of target data, and calling a history model to perform data version management on the target data according to the registration information; if the registration information indicates that the registration has been completed, obtaining the transaction change data set of the target transaction entity group, and filtering the target transaction change version list corresponding to the target data from the transaction change data set to obtain the state before the change of the target data as the data basis for subsequent implementation of the rollback change operation, thereby supporting the transaction rollback operation; and performing the rollback change operation corresponding to the target data according to the state before the change, thereby guaranteeing the regrettable nature of the transaction operation, and simultaneously, the data version before the change does not need to be restored manually again, the management and control difficulty of the data version is simplified, and the management and control efficiency is improved.

The application relates to a relationship graph construction method and device, computer equipment and a storage medium. The method comprises the following steps: determining the types of nodes, dividing a plurality of nodes into management nodes and instance nodes subordinate to the management nodes according to the types; associating first attribute information with each management node and associating second attribute information with each instance node; wherein the first attribute information is information representing node management rules, and the second attribute information is information representing entity business attributes; configuring a first relationship identifier between each management node and the instance nodes subordinate thereto, and configuring a second relationship identifier between each management node and the adjacent layer instance nodes dependent thereon; and constructing a relationship graph model according to the management nodes, the instance nodes, the first attribute information, the second attribute information, the first relationship identifier and the second relationship identifier. The method can improve the accuracy and efficiency of data management based on a relationship graph.

The application discloses a kind of steep coal seam group horizontal segmentation and trend longwall mixed mining method, comprising: according to the stage height of thin coal seam single mining calculated and determined when coal seam slips or is destroyed opportunity;According to the segmentation height of thick coal seam, according to the space coordination requirement calculation, the space coordination requirement is, after thin coal seam is mined according to stage height single, the projection length of top contact caving length after thick coal seam is mined according to μ segmentation height stage is same in horizontal plane, caving zone and fracture zone and goaf overlap;According to the corresponding single mining progress, the thin coal seam and the thick coal seam are alternately mined.The stage height of thin coal seam single mining and the segmentation height of thick coal seam are quantitatively calculated according to coal seam slip or destruction opportunity, and thin coal seam and thick coal seam are alternately mined according to the requirement of space and time coordination, impact strata control, strata movement control and the coordination of mining efficiency improvement are realized.

The application provides an epoxy asphalt curing state and construction feasibility analysis method, device, equipment, medium and program product, and relates to the technical field of road engineering.The method comprises the following steps: acquiring working condition data of to-be-tested epoxy asphalt mixture; the working condition data is data affecting the curing reaction progress and construction performance of the epoxy asphalt; based on the working condition data, curing degree prediction is performed through a pre-constructed curing degree dynamic prediction model to determine the curing degree of the to-be-tested epoxy asphalt mixture; based on the curing degree, construction feasibility analysis is performed through a pre-constructed grading judgment model to determine the curing state analysis result, construction feasibility analysis result and compaction analysis result of the to-be-tested epoxy asphalt mixture.Through the above method, subjective errors caused by manual experience judgment can be eliminated, the accuracy of the analysis result is improved, the road construction quality and control efficiency of the epoxy asphalt mixture are improved, material waste can be effectively avoided, and the construction period loss is reduced.

This utility model relates to a reciprocating rotary motor, including a base, a stator assembly, a rotor assembly, and a bearing assembly. One end of the stator assembly and the bearing assembly are respectively mounted on the base, the rotor assembly is mounted on the stator assembly, and the other end of the bearing assembly is connected to the rotor assembly. Both the stator assembly and the rotor assembly are non-circular structures. The rotor support is provided with a load mounting portion, which is close to the rotating shaft in the bearing assembly. Compared with the prior art, this utility model has the advantages of resulting in smaller motor inertia and load inertia, which not only reduces the torque requirements of the motor and increases the acceleration and deceleration speed of the motor, but also improves the control precision of the motor.

The invention relates to a dual-card single-pass communication control method and system. The method comprises the steps that first communication card core information, second communication card core information, network quality parameters, service state information and module state information of a charging pile and a remote instruction issued by a cloud platform are acquired; according to the first communication card core information, the second communication card core information, the network quality parameter, the service state information, the module state information, the remote instruction and a preset strategy, whether a communication card switching condition is triggered or not is judged; if the communication card switching condition is triggered, generating a switching instruction based on first communication card core information, second communication card core information, network quality parameters, service state information, module state information, a remote instruction and a preset strategy; and executing the switching instruction, recording switching event information in the execution process of the switching instruction, and reporting the switching event information to the cloud platform. Therefore, the communication reliability is remarkably improved, the switching strategy is precise, and the management and control and operation and maintenance efficiency of the platform is improved.

The invention relates to the technical field of data management, and discloses a block chain-based village digital security management and control method and system, and the method comprises the steps: carrying out the structural analysis of original village data of a target region, generating standardized village transaction data, and packaging the standardized village transaction data into candidate blocks; after consensus verification is completed through a block chain network consensus node, a verification result is subjected to uplink storage, and an evidence storage transaction hash value is generated; and according to the data transaction type, calling an on-chain smart contract matching decision rule base, dynamically generating a digital voting proposal in combination with the villager digital identity permission list, pushing the digital voting proposal to a villager account with the corresponding permission, and receiving a voting instruction signed by a private key. And finally verifying the validity of the voting signature through an intelligent contract, counting valid tickets to form a summary record, and executing preset chain operation of a corresponding transaction type after judgment of an effective threshold value. According to the invention, the digital safety management and control efficiency of the villages in the target area can be improved.

This invention discloses an open-source automated testing system for electricity meters and data acquisition terminals, relating to the field of electricity meter testing technology. It aims to address the problem that the test coverage of existing electricity meter testing solutions is often determined by the experience of the testers. The system includes: a device management module for integrated control of the equipment and automatic control to meet testing conditions; a bottom-level platform module providing a set of step instructions for the smallest unit; a communication protocol module containing several protocols and parsing data according to the frame format structure and data type of the protocols; a script testing module that sets up script programs according to the test process and logic, calls the step instructions, and verifies the test results by reading, setting, and comparing data in the protocol library; and a task management module that establishes task numbers, selects script programs through task allocation, executes tests, and outputs test reports. This invention significantly improves test coverage and efficiency through automated testing technology, reducing reliance on developers.

The invention relates to a vehicle type project management method and device, electronic equipment and a storage medium. The method comprises the following steps: when a creation request of a vehicle type project is received, obtaining a plurality of key nodes of a pre-configured vehicle type project and time points of the key nodes, and associating the time points of the key nodes with safety activities of the vehicle type project; creating and executing a vehicle type project; when it is monitored that the current time point reaches the time point of the target key node, obtaining a time window of the safety activity of the vehicle type item; acquiring associated data of the security activity based on the time window of the security activity; determining a risk project and a disposal mode of the risk project according to the associated data of the safety activity; and generating a compliance report of the vehicle type item according to the associated data of the safety activity. By adopting the method, the full-life-cycle standardized and automatic management of the vehicle type project can be realized.

The invention discloses a buried gas pipeline joint nondestructive testing technology, and belongs to the technical field of pipeline nondestructive testing, the buried gas pipeline joint nondestructive testing technology comprises four core steps of preparation before detection, ultrasonic phased array detection, X-ray detection, combination determination and result output, and by customizing a test block calibration device, detection parameters are optimized according to pipeline specifications, and the pipeline joint nondestructive testing efficiency is improved. An ultrasonic phased array method and an X-ray method are combined for detection, and a standardized judgment rule is established; and meanwhile, the matched special auxiliary device comprises an ultrasonic phased array detection auxiliary device and an X-ray machine positioning device which are respectively used for fixing the probe and the X-ray machine, so that accurate detection positioning and tight probe fitting are ensured. According to the method, the defect recognition rate is larger than or equal to 98%, the defect position error is smaller than or equal to + / -2 mm, the method is matched with De63-De355 full-specification PE pipeline joints, operation is convenient and fast, efficiency is high, various common defects of the joints can be comprehensively recognized, quantitative analysis and qualification judgment are achieved, and reliable technical guarantee is provided for buried gas pipeline joint quality control and safe operation.

The embodiment of the invention provides an access credential management and control method, device, system and equipment, a computer program product and a storage medium. In the embodiment of the invention, different management and control devices are respectively associated with different application clusters, and for the management and control device associated with any application cluster, an acquisition request which is initiated in the application cluster and is used for acquiring an access credential is pre-processed by the management and control device associated with the application cluster, so that the access credential can be acquired by the management and control device associated with the application cluster. The management and control device can respond to part of the acquisition requests in the application cluster, and the part of the acquisition requests do not need to be responded by an access credential issuing system any more; moreover, different application clusters are respectively associated with different management and control devices, so that a multi-point pressure sharing architecture can be realized. The architecture not only can effectively share the request response pressure of an access credential issuing system, but also can avoid the problem of high concurrency of requests on a single point location, thereby ensuring the management efficiency on the single point location. Therefore, the management and control efficiency of the access credentials can be effectively improved.

The application discloses a kind of data-driven based groundwater extraction injection intelligent control method and system, it is related to data processing field;The multidimensional data of acquisition place and local water quality purification parameter are carried out data processing to obtain unified data set;Based on historical unified data set, target prediction model is constructed in combination with target area hydrogeology basic data;Unified data set is substituted into target prediction model to obtain the pollution concentration variation trend of groundwater and pollution range diffusion risk level;Based on pollution concentration variation trend, pollution range diffusion risk level, in combination with historical pollution control effect data, the preset pollution concentration early warning threshold, pollution range boundary early warning threshold are dynamically updated;Actual pollution concentration in current unified data set, pollution range and updated early warning threshold are compared to obtain target control instruction, to carry out groundwater extraction injection intelligent control, reduce manpower input and operation error, improve groundwater extraction injection efficiency.