664results about How to "Avoid interruption" patented technology

The invention provides a dual-mode network communication method and system based on HPLC + HRF, and the method comprises the steps: carrying out the network initialization, and carrying out the initialization configuration of an HPLC module and an HRF module; data acquisition and feature extraction; training and predicting an LSTM neural network; selecting and optimizing a communication mode; dynamically adjusting the data transmission rate based on the prediction result of the LSTM neural network in combination with the current actual monitoring data; performing data transmission in the data transmission process according to the selected communication mode and data transmission rate; and data fusion and optimization: carrying out fusion processing, error correction and optimization sorting on the data from the HPLC and the HRF at a receiving end. By fusing the LSTM neural network prediction technology and the adaptive rate adjustment technology, accurate prediction of network communication link quality and intelligent optimization of the data transmission rate are realized, and the defects of the traditional network communication technology in a complex environment are effectively overcome.

The invention discloses a supply chain intelligent tracking system oriented to process monitoring, relates to the technical field of supply chain intelligent management, and is used for solving the problems of flexibility and anti-risk capability of supply chain breakpoint management. Comprising a supply chain data processing module, an energy transmission analysis module, a breakpoint prediction module and a supply chain adjustment module. According to the method, original data are collected from supply chain nodes, effective features are generated in combination with a time sequence, classification features and a high-dimensional data processing technology, a breakpoint prediction model is constructed through a gradient lifting decision tree, breakpoint risks are identified and evaluated, a supply chain network topology structure is constructed, and propagation paths and influence ranges of the breakpoint risks are calculated recursively. Determining an affected node set, formulating an adjustment and recovery strategy in combination with a prediction result, optimizing resource allocation and logistics routes, quickly recovering key nodes, ensuring continuity of a supply chain, and upgrading an early warning mechanism to dynamically monitor risks, thereby improving management flexibility and anti-risk capability of the supply chain.

The invention discloses a modular power supply efficiency intelligent management method, and aims to record the working state, power output and conversion efficiency of a power supply module in real time through a sensor and monitoring software, carry out system energy efficiency analysis regularly, and can significantly improve the overall performance of a power supply system. Firstly, according to the scheme, by optimizing power distribution and fault early warning, the energy efficiency can be effectively improved, energy waste is reduced, and the operation cost is reduced. Meanwhile, the system can dynamically adjust the load of each module, prolong the service life of equipment, reduce the equipment fault risk through preventive maintenance, and improve the stability and reliability of the system. In addition, an energy efficiency analysis report of the system provides a data-driven decision basis for a manager, helps to discover the potential of efficiency improvement, and guides the future optimization direction. And by reducing energy consumption, the power supply system can also reduce carbon emission, promote sustainable development of enterprises and improve environmental protection benefits.

The invention relates to the technical field of automatic control, in particular to an intelligent irrigation system for standardized production of forestry seedlings, which comprises a soil water and fertilizer state monitoring module, a water and fertilizer demand analysis module, a water and fertilizer amount adjustment module, a time period optimization module, an execution control module and a resource monitoring module. According to the invention, water and fertilizer strips required by seedling growth can be accurately mastered by monitoring the soil moisture and fertility state in real time, and compared with a preset standard, irrigation and fertilization requirements can be accurately evaluated, resource waste is reduced, the water and fertilizer use efficiency is improved, and by considering future weather conditions and soil temperature and adjusting the water and fertilizer delivery amount, the water and fertilizer utilization efficiency is improved. According to the method, uncertain influences caused by weather changes are reduced, the optimal fertilization and irrigation time periods are recognized, the timeliness and effectiveness of irrigation and fertilization are improved, continuous operation of irrigation and fertilization is guaranteed by monitoring the resource use state in real time and feeding back low stock information in time, and interruption of irrigation and fertilization caused by resource shortage is avoided.

The invention relates to the technical field of smart power grids, in particular to a communication link switching method of a heterogeneous network, which comprises the following steps: constructing a network link quality weighted evaluation model for a cellular mobile network, a narrowband Internet of Things and a Wi-SUN network; the communication link quality of different types of networks is monitored and evaluated according to the real-time link quality evaluation parameters and the network link quality weighted evaluation model, so that the quality condition of the current communication link can be intelligently identified; moreover, when the link quality of any network is lower than the preset threshold value, the method can quickly trigger the switching action of the communication link, and the uplink communication link of the gateway is switched from the network with poor quality to the network with better quality, so that the stability and the reliability of the communication link are remarkably improved, and the communication efficiency is improved. And the problem of communication interruption or data loss caused by poor network quality is effectively avoided, so that the overall network communication performance is optimized, and the continuity and reliability of data transmission are ensured.

The invention discloses a storage, calculation and training AI server load fluctuation self-balancing method based on a recursive game network. The method comprises the following steps: S1, recording real-time load data of each task; s2, constructing a macroscopic hierarchical recursive game network model based on the overall resource pool of the AI server; s3, generating an overall resource allocation strategy through multi-agent competition calculation of the macroscopic hierarchical recursive game network model; s4, constructing a micro-hierarchy recursive game network model based on the resource allocation strategy generated by the macro-hierarchy; s5, sub-task resources are optimally allocated; s6, issuing the adjusted resource quota to the microscopic hierarchical recursive game network model in real time; s7, carrying out resource pre-allocation on the upcoming high-load task; and S8, enabling resource allocation to gradually tend to an optimal state. According to the method, the resource utilization efficiency, the system response capability and the task completion stability of the AI server in a multi-task load fluctuation scene are remarkably improved.

The invention discloses a distributed unmanned aerial vehicle detection system, and belongs to the technical field of unmanned aerial vehicle detection planning, and the system specifically comprises the steps: obtaining all to-be-allocated tasks and the number of unmanned aerial vehicles of an unmanned aerial vehicle base station; obtaining importance grade scores of the to-be-allocated tasks, sorting the to-be-allocated tasks according to the importance grade scores to obtain a first sequence, and formulating planning routes of all unmanned aerial vehicles based on the first sequence; any unmanned aerial vehicle is selected and flies according to the corresponding planned route, the consumed electric quantity and the remaining electric quantity of the unmanned aerial vehicle are obtained in real time, whether the electric quantity of the unmanned aerial vehicle meets the task allocation requirement or not is judged, and if yes, the unmanned aerial vehicle is controlled to continue to fly along the current planned route; if not, a target unmanned aerial vehicle is selected from all the remaining unmanned aerial vehicles, the planned route of the target unmanned aerial vehicle is corrected, and a final planned route is obtained, and efficient unmanned aerial vehicle management and route planning are achieved.

The invention relates to the technical field of electric power system safety early warning, and discloses a fault risk sensing early warning method for a high-low voltage switchgear assembly, and the method carries out the data preprocessing and feature extraction through collecting the state monitoring data, environmental parameters and basic attribute information of a device in historical operation. And based on the feature data sets, constructing a fault risk prediction model to predict the fault risk probability of the equipment in a period of time in the future, obtaining the operation state data and environmental parameters of the equipment in real time, and inputting the prediction model to obtain the fault risk probability. Meanwhile, the equipment is monitored in real time, original monitoring data is cleaned, abnormal values are removed, real-time monitoring data is compared with prediction data, whether the difference exceeds a threshold value or not is judged according to a preset risk threshold value, and risk points are marked. And evaluating the equipment fault risk according to the risk point and the evaluation strategy, and sending a result to related personnel to take prevention measures.

The invention discloses a business process optimization method and system, relates to the technical field of computers, and provides a preventive business process optimization method which can identify and solve potential problems in advance so as to ensure stable operation of a preset business process. According to the main technical scheme, the method comprises the steps of obtaining a preset business process, wherein the preset business process comprises business nodes, a logic operation sequence between the business nodes and monitoring index information corresponding to the business nodes; executing a preset business process according to the logic operation sequence among the business nodes by utilizing a process execution engine, and outputting a monitoring index value corresponding to the monitoring index information in the execution process of the preset business process; judging whether each service node in the preset service process has a fault risk or not by using the monitoring index value; and if yes, adjusting each service node according to a preset adjustment method to generate an optimized service process. The method is used for optimizing the preset business process.

The invention relates to the technical field of wireless sensor networks, and discloses an automatic maintenance method for wireless sensor network nodes in a mine laneway, which comprises the following steps: S1, network topology structure design: establishing a wireless sensor network consisting of sensing nodes, relay nodes and gateway nodes, the sensing nodes being distributed in the mine laneway, the relay nodes being distributed in the mine laneway, and the gateway nodes being distributed in the mine laneway; the data acquisition node is used for acquiring environment data, the relay node is used for multi-hop transmission of the data, and the gateway node is used for communicating with a ground monitoring system; s2, a fault detection mechanism: integrating a fault detection module in each node; s3, a self-repairing mechanism: when the node detects a fault, automatically triggering the self-repairing mechanism; s4, performing fault early warning and reporting; and S5, energy consumption management and optimization: the system integrates an energy consumption management module in the node. Through the integrated fault detection module and the self-repairing mechanism, the system can automatically identify and try to repair the fault when the fault occurs, so that the downtime of the system is reduced, and the continuous and stable operation of the network is ensured.

The invention belongs to the technical field of annular magnetic core winding, and particularly relates to an annular magnetic core continuous winding device which comprises a base, two guide rails are arranged on the upper surface of the base, and a limiting assembly is slidably arranged on the two guide rails and used for limiting a magnetic ring; a fixing frame is fixedly connected to the upper surface of the base, a rotating ring is rotatably connected to one side of the fixing frame, and a pay-off roller is rotatably and fixedly connected to the interior of the rotating ring; a second motor is arranged on the upper surface of the base and used for driving the rotating ring to rotate. A self-locking assembly is arranged on the inner wall of the rotating ring and can complete self-locking on the pay-off roller in time when the rotating ring is suddenly stopped, and the situation that the pay-off roller rotates due to inertia to pay off redundant wires is prevented. And by arranging the self-locking assembly, the problem that a certain amount of copper wires are released due to inertia autorotation of the pay-off roller under the sudden stop condition is solved.

The invention relates to the technical field of earthquake detection, and discloses a constant-pressure online detection device and method for the concentration and flow of gas escaped from a hot spring, and the device comprises a gas collecting hood, a buffer bottle, a gas flow detector, a constant-volume gas storage chamber, a constant-pressure detection valve, an online gas detector and a central controller; the gas collecting hood is arranged in a corresponding area of hot spring escape gas and collects the hot spring escape gas; the gas inlet end of the surge flask is communicated with the gas collecting hood through a pipeline, and the gas outlet end is communicated with the gas inlet end of the constant-volume gas storage chamber through a gas flow detector; the constant-volume gas storage chamber is communicated with an on-line gas detector pipeline through a constant-pressure detection valve, and when the air pressure value of hot spring escape gas stored in the constant-volume gas storage chamber is larger than a preset air pressure threshold value, the hot spring escape gas enters the on-line gas detector through the constant-pressure detection valve; the on-line gas detector is used for detecting gas components and concentration of gas escaped from the hot spring and sending detection data to the central controller.

The invention discloses a multi-unmanned aerial vehicle cooperative power reinspection method and system based on a communication technology, and belongs to the technical field of power system inspection, and the method comprises the steps: S1, constructing an inspection 3D map, determining an instruction set, and obtaining corresponding node inspection information; s2, analyzing node inspection information to determine own abnormal points and related abnormal points so as to determine an abnormal tracing network; segmenting the inspection 3D map according to the abnormity tracing network to obtain a target abnormal area and a non-abnormal area; s3, respectively constructing a first target execution path and a second target execution path through a minimum tree generation algorithm; s4, determining a regional information interaction time period based on the first target execution path or / and the second target execution path; s5, the unmanned aerial vehicle performs power recheck operation based on a multi-frequency communication strategy in combination with the regional information interaction time period; according to the scheme, the instantaneity and reliability of information interaction can be guaranteed, meanwhile, the main unmanned aerial vehicle and the standby unmanned aerial vehicle can guarantee smooth execution of an inspection task, and the efficiency of unmanned aerial vehicle power inspection is remarkably improved.

The invention relates to the technical field of information, and provides a construction method for realizing a network server, which comprises the following steps: firstly, acquiring an application scene and network demand parameters of a network server to be constructed, determining network conditions and analyzing performance demands, and then analyzing a processing rate and residual resources according to the performance demands, the method comprises the following steps: collecting operation data to determine network fluctuation parameters and network supply data, formulating an operation application plan and constructing an alarm triggering mechanism, then analyzing triggering historical data to identify operation fault factors, calculating an operation packet loss rate, constructing a server protection device and a server to be constructed into a constructed server, and analyzing a safe application environment of the server protection device. And monitoring application state parameters in real time and performing parameter management analysis, and finally generating a server management scheme based on a result. According to the invention, the establishment efficiency of the to-be-established network server can be improved.

The utility model provides a skid-mounted mixing system and belongs to the technical field of skid-mounted mixing. Comprising a box body; the stock bin is arranged in the box body; the grading part is arranged on the stock bin, and the grading part comprises a high-level material level sensor which is arranged at the top of the stock bin and used for preventing excessive filling of materials. According to the utility model, the grading part is arranged, and high, middle and low three-level material level monitoring points are arranged in the stock bin, so that the real-time monitoring of the material level in the stock bin is realized, the overflow caused by excessive filling of the material can be effectively prevented, the continuity of material supply is ensured, the interruption of production due to material shortage is avoided, and when the material level drops to an early warning point, the production efficiency is improved. The system can trigger a material supplementing mechanism in time to prevent a production line from being shut down due to material exhaustion, so that the continuity and the stability of a production process are maintained.

The invention relates to the technical field of communication, and provides a short message traffic anomaly prediction and early warning method and device, and a storage medium. The method comprises the following steps: predicting the short message traffic of a target area in a preset time period based on a preset target short message traffic prediction method to obtain target short message traffic prediction data information; judging whether the short message traffic of the target area in the preset time period is abnormal or not based on the target short message traffic prediction data information; if yes, generating a short message processing mechanism of the target area in the preset time period based on the target short message traffic prediction data information; and processing the short message request in the target area within the preset time period based on the short message processing mechanism. According to the method, when the short message flow is abnormal, it is ensured that the short message request with the high priority is processed preferentially, and the situation that the short message is discarded when the short message gateway is overloaded is effectively avoided.

The embodiment of the invention provides a data migration method and device, computer equipment and a readable storage medium. The method comprises the steps that at least one source storage volume needing to be migrated is determined, and a load negative influence factor is obtained; migrating data in the source storage volume, and determining a first utilization rate of the source storage volume in a migration process; determining a utilization rate threshold value of the source storage volume, and determining a first adjustment granularity of a read-write rate of a target block device receiving the source storage volume; and sending a read-write rate adjustment instruction for the corresponding target storage volume to the target block device, so that the target block device performs smooth adjustment on the read-write rate of the target storage volume step by step according to the first adjustment granularity according to the read-write rate adjustment instruction, thereby performing smooth adjustment on the read-write rate of the source storage volume step by step, the first utilization rate of the source storage volume is adjusted to the utilization rate threshold value; and after the data migration is finished, stopping the data migration operation. Therefore, the flexibility of data migration can be improved.

The invention belongs to the technical field of communication line inspection, and particularly discloses a communication line intelligent detection unmanned aerial vehicle, which is composed of an unmanned aerial vehicle, and an inspection terminal and a control terminal arranged on the unmanned aerial vehicle, and is characterized in that a plurality of inspection paths are planned and divided into main inspection paths and alternative inspection paths, and safety points are reasonably arranged on the inspection paths; the communication quality is monitored in real time when the unmanned aerial vehicle performs routing inspection along a main routing inspection path, once the communication abnormality is identified, the system immediately performs temporary prediction of the communication abnormality and data transmission urgency evaluation, and then the system determines whether the unmanned aerial vehicle flies to a safety point nearby or continues to perform routing inspection along an original path according to an evaluation result. Therefore, unmanned aerial vehicle flight adjustment based on communication quality anomaly detection is realized. According to the method, transmission interruption of inspection data can be avoided to the greatest extent, the continuity of inspection tasks and the data integrity are ensured, and the repair efficiency and the overall inspection efficiency of communication lines are further improved.

The invention discloses an application layer flow control method based on image network transmission, and relates to the technical field of data transmission and management.The method comprises the steps that a camera SDK is used for creating an acquisition queue containing a buffer in a host application layer, and the host application layer can receive image data sent by a camera through the acquisition queue; the method comprises the following steps of: receiving a buffer, putting the corresponding buffer into a processing queue to inform a user to process, feeding back the condition of the buffer to a camera in real time by a host application layer through a communication link in the process, determining whether to continuously send an image or not by the camera according to a feedback result, and stopping image transmission in time when the buffer capability of a host is insufficient to avoid data loss; in the technical scheme of the invention, a host application layer can feed back the real-time information of the buffer in the acquisition queue to the camera through a link, and when the host does not have a buffer area, the transmission is suspended and the image is stored in the buffer of the camera, so that the flow control from a data source to the application layer is realized; the problem of transmission stability in network industrial camera application is effectively solved, and the network transmission reliability is improved.

The invention relates to the technical field of satellite communication, and discloses a communication method and system for a long-voyage ship based on L frequency band communication, and the method comprises the steps: recognizing the navigation environment and communication demands of the long-voyage ship, recognizing the satellite signals of the long-voyage ship and a communication end through recognizing the frequency band characteristics of a communication frequency band, and carrying out the communication of the long-voyage ship; a signal tracking network of satellite signals is set, signal parameters of the satellite signals are monitored in real time according to the signal tracking network, a quality feedback mechanism of the signal parameters is set, the current signal quality grade is identified, and the signal quality requirements of the long-voyage ship and the communication end are identified based on the current signal quality grade; the method comprises the following steps: setting a multi-beam switching mechanism pointing to beams and a signal locking network of satellite signals, setting a confidential path for transmitting data, and generating a communication result of a long-voyage ship and a communication end in combination with the multi-beam switching mechanism, the signal locking network and the confidential path; according to the invention, the stability and safety of signal transmission can be enhanced, and the communication quality of the long-voyage ship is improved.

The invention relates to the technical field of data processing, and discloses a key dynamic updating method and device, equipment and a storage medium, and the method comprises the steps: detecting a triggering mode triggered by an event; when the trigger mode is a preset event trigger mode, generating a trigger signal; and updating the key in parallel according to the trigger signal. An event triggering mechanism is introduced, and when a specific event occurs, key updating is automatically triggered; meanwhile, a multi-key parallel updating mechanism is adopted, that is, in the key updating process, multiple keys are used at the same time for encryption and decryption operation, the smooth key updating process is achieved, and the problems of interruption and unavailability of data are avoided. The multi-key parallel updating also increases the security of key updating, and even if a certain key is leaked, the security of the whole system is not damaged.

According to the intelligent wagon balance management system, the technologies of license plate recognition, RFID technology, central processing unit, multimedia prompt, video monitoring, mobile communication, data storage and the like are integrated, and efficient and accurate weighing of industrial logistics vehicles is achieved. The system automatically detects a vehicle and guides a driver to complete weighing, and prevents omission through APP reminding, thereby ensuring accurate recording of weight information. In an emergency, the abnormal processing module guarantees stable operation of the system, and the remote monitoring interface enables managers to supervise the weighing condition in real time, thereby improving the logistics efficiency and safety.

The invention relates to an AI-based CDN resource intelligent scheduling cost optimization method and device. Obtaining the current resource use condition of each resource node in the distribution network and the cost strategy of each resource affiliation party to which each resource node belongs; adopting an AI cost strategy model to analyze an estimated resource demand required by a demand side in a prediction time period, a current resource use condition of each resource node and a cost strategy of each resource affiliation side to which each resource node belongs, and obtaining a target node selected by the AI cost model from each resource node; and providing corresponding resources for the demand side in the prediction time period by adopting the target node.

The present application discloses a data transmission method and device, which can improve the accuracy of data transmission. The method includes: receiving an indication information for indicating quasi-co-location information of a control channel or a data channel, and the quasi-co-location information indicates that the control channel or the data channel has a quasi-co-location relationship with multiple reference signals. Doppler frequency deviation estimation is performed based on the quasi-co-location information between the multiple reference signals to obtain a comprehensive Doppler frequency deviation estimation result, and the control channel or the data channel from multiple network devices is demodulated based on the comprehensive Doppler frequency deviation estimation result. By associating the quasi-co-location information with multiple reference signals, that is, the data channel or the control channel has a quasi-co-location relationship with the multiple reference signals, the terminal device can estimate more accurate channel information and Doppler frequency deviation based on the multiple reference signals in the presence of multipath signals, thereby improving the accuracy of channel estimation.

The invention discloses a measurement event processing method and device, electronic equipment and a readable storage medium, and belongs to the technical field of communication. The method comprises: when service data of a terminal satisfies an abnormal condition, the terminal acquires a first signal measurement value corresponding to a first measurement event, the first signal measurement value comprising at least one of the following items: a signal measurement value of a serving cell of the terminal, and a signal measurement value of a neighbor cell of the serving cell; under the condition that the first signal measurement value does not meet the triggering condition of the first measurement event, the terminal adjusts the first signal measurement value to a second signal measurement value, the second signal measurement value meets the triggering condition of the first measurement event of the terminal, and the triggering condition is used for triggering reporting of a first measurement report; the first measurement report is used for triggering cell handover.

The invention relates to the technical field of communication, in particular to dual-mode ONU (Optical Network Unit) equipment with an uninterruptible power supply and based on a PON (Passive Optical Network) system. The dual-mode ONU comprises a power storage and supply module, a dual-mode ONU module and a control unit, wherein the power storage and supply module comprises an AC220V power supply interface, a DC12V power supply interface and a USB discharge interface; the dual-mode ONU module comprises an optical signal receiving interface and an optical signal transmitting interface; the control unit can automatically control the charging and discharging strategy of the power storage and supply module according to the state of the power storage and supply module and the condition of an external power supply, so as to ensure the uninterrupted work of the dual-mode ONU module. According to the PON system-based dual-mode ONU equipment with the uninterruptible power supply provided by the invention, the power storage and supply module, the dual-mode ONU module and the control unit are integrated, so that the power supply stability and the flexible switching of network modes are realized, and the reliability of network services and the user experience are improved.

The invention relates to the technical field of power fault monitoring, and particularly discloses a fault monitoring method and system for a military port power switching system, and the method comprises the steps: power switching equipment detection, power switching equipment performance analysis, military port power switching monitoring and military port power switching monitoring early warning. According to the method, the performance reduction or potential fault problem of each power switching device can be found in time, prevention measures are taken, the performance fault of the power switching device is avoided, the power switching device which operates abnormally can be accurately identified by monitoring the environmental parameters and the operation data of the power switching safety device in real time, and early warning is given in advance, so that the safety of the power switching device is improved. The risk of power system interruption or damage caused by equipment faults can be effectively reduced, and the high reliability of the military port power switching system is ensured.

The continuous anti-blocking discharging structure comprises an outer shell, a conveying assembly, a scraping assembly and a cleaning assembly, a feeding port is formed in the upper end of the left side of the outer shell, a discharging port is formed in the lower end of the right side of the outer shell, the conveying assembly is arranged in an inner cavity of the outer shell, and the scraping assembly is arranged on the lower end face of the conveying assembly. The cleaning assembly is arranged on the right side of the scraping assembly. According to the continuous anti-blocking discharging structure of the kneading machine, materials are continuously conveyed step by step among different steps through multi-stage conveying, so that the discharging speed of the materials is buffered, the discharging speed is prevented from being too high, and meanwhile, blockage or interruption caused by the fact that excessive raw materials are concentrated on one conveying level at a time can be avoided through multi-stage conveying; according to the conveying belt, uniform distribution of materials can be kept, the risk of blockage is reduced, raw materials attached to the conveying belt can be scraped and cleaned in time through the scraping assembly and the cleaning assembly, and the situation that the raw materials are sticky and accumulated too much, and consequently discharging blockage is caused is prevented.

The invention discloses a data distribution method and device. Relates to the field of civil aviation message processing, and the method comprises the following steps: receiving a flight initialization message, extracting flight information to be processed from the flight initialization message, and dividing the flight information to be processed into a target data processing system for processing under the condition that the flight information to be processed is matched with a dynamic shunting rule table, the dynamic offload rule table comprises a plurality of dynamic offload rules, and each dynamic offload rule is used for judging whether the flight information is divided into a target data processing system to be processed or not; and when the to-be-processed flight information is not matched with the dynamic shunting rule table, dividing the to-be-processed flight information to a historical data processing system for processing. Through the flight data processing method and device, the problem of service interruption caused when a data processing system is switched to process flight data in related technologies is solved.

The invention relates to a multi-model fusion precise point positioning time service method and device and a receiver. A mode of fusing an IF model and a Uofc model is adopted, the problem that an observation equation cannot be established due to the fact that the IF model lacks a certain frequency signal of a satellite in a complex environment at present is solved, in addition, in model fusion, receiver hardware delay deviation parameters are designed, and the problem of receiver clock difference existing when PPP calculation is carried out by fusing the IF model and the Uofc model is solved. According to the method, the IF model and the Uofc model are fused for PPP calculation, all satellite resources observed by a receiver can be fully utilized in a normal environment, and the problem that PPP positioning time service is interrupted or jumped when satellite signals are interfered can be avoided.