393results about How to "Low implementation cost" patented technology

The invention discloses a water quality detection method and system based on artificial intelligence. The method comprises the steps of data collection, data preprocessing, water quality pre-classification, water quality trending analysis, pollution traceability prediction and water quality detection. The invention relates to the technical field of water quality detection, in particular to a water quality detection method and system based on artificial intelligence, and the scheme adopts an artificial intelligence water quality detection method including water quality pre-classification, trend analysis and pollution tracing; performing water quality pre-classification by adopting a deep neural network method combining a genetic algorithm and a random forest model; performing water quality pre-classification and water quality trend analysis by adopting a deep neural network method combining a genetic algorithm and a random forest model; according to the method, data are classified in advance through a water quality pre-classification task, unpolluted water sources are eliminated, and then the calculation speed and the calculation effect of pollution tracing are improved through a causal enlightenment operator and an improved graph neural network in combination with a causal enlightenment graph neural network.

The invention relates to a user behavior analysis method and device for burglary prevention of mobile equipment in an exhibition hall, and the method comprises the steps: carrying out the collection and preprocessing of Bluetooth signal intensity data, acceleration, angular velocity data, geomagnetic sensor data and ambient light sensor data, and taking the sampling rate of the preprocessed acceleration and angular velocity data as reference time; mapping the preprocessed Bluetooth signal intensity data, geomagnetic sensor data and ambient light sensor data to the same timestamp; constructing a user behavior database according to the defined user behaviors; a user behavior recognition result is obtained through the trained CNN-LSTM hybrid recognition model by means of multi-modal sensor data collected in real time; a comprehensive score is calculated by distributing weights for the user behavior recognition result and the Bluetooth signal strength distance; and judging whether the comprehensive score exceeds a preset threshold, and if the comprehensive score exceeds the preset threshold, triggering an anti-theft alarm. The problems that in an existing mobile phone display anti-theft system, the false alarm rate is high, and a single sensor is prone to being interfered are solved.

A water leakage monitoring method for a digital twinning system of a coal mine shaft comprises the steps that an RFID antenna and a Twinin-Tag sensor are installed on the wall of the shaft, a monitoring terminal is arranged on the ground, and an RFID reader is arranged at an outlet of the shaft; a shaft monitoring signal is collected in real time through a Twindow-Tag sensor, the shaft monitoring signal is read through an RFID reader, and then shaft monitoring data are obtained by analyzing and processing the shaft monitoring signal; collecting RSSI reading and phase data by using a short time window, and performing state identification by using a decision tree; carrying out coarse segmentation and fine segmentation on the leakage signal, and determining the location of a water leakage point in combination with a change point detection algorithm; and the leakage volume and the leakage rate are estimated. According to the method, the water leakage point can be accurately positioned, the volume and flow velocity information of the leaked water in the shaft can be obtained, so that a reliable basis is provided for subsequent maintenance decision making, and the method is suitable for long-term monitoring operation of the coal mine shaft.

The invention discloses a traceability tracking method and system for cosmetic electronic two-dimensional codes, and relates to the technical field of cosmetic traceability tracking. According to the traceability tracking method of the cosmetic electronic two-dimensional code, after a production link is finished, data such as production original ingredient quality, component stability and production environment are stored in the two-dimensional code, scanning traceability analysis is carried out in the next link, production quality related indexes are calculated, whether the product is qualified or not is comprehensively judged, qualified products continue to be produced, and unqualified products are screened and processed. According to the invention, after each production link is finished, the production data including the original ingredient quality, the component stability, the production environment and other information are dynamically stored, a complete link recording chain is formed, the data are updated in real time through the electronic two-dimensional code, the synchronization of the traceability information and the actual production is ensured, the real-time performance and the traceability efficiency of the data are improved, and the production efficiency is improved. According to the link-by-link tracking mechanism, the transparency of the cosmetic production process is remarkably improved, so that the specific production link can be quickly positioned when the quality problem occurs.

The invention discloses an overload protection method for an electric drive system. The overload protection method comprises the steps of collecting temperature and / or current data corresponding to the electric drive system; respectively comparing the temperature and / or current data with a preset temperature or current overload protection threshold value and an overload pre-protection threshold value, and judging whether to limit the output torque and the power or not; wherein the overload pre-protection threshold value is smaller than the overload protection threshold value; when the temperature or the current exceeds the overload pre-protection threshold value and is smaller than the overload pre-protection threshold value, the output torque power is limited through an overload pre-protection strategy; and when the temperature or the current exceeds an overload protection threshold value, an overload protection strategy is adopted to limit the output torque power. Before the overload protection threshold value is reached, the possibility of reaching the overload protection threshold value is reduced in an overload pre-protection mode, and the operation reliability of the system is improved.

The invention belongs to the technical field of artificial intelligence security, and relates to a defense method for model backdoor attacks. The invention aims to solve the problem that the accuracy of the model is remarkably reduced due to the existing defense technology. The method combines a backdoor label detection method and a model fine tuning method, and is realized by the following steps of: firstly, detecting a backdoor label by utilizing a nerve cleaning method, and identifying a potential backdoor trigger; secondly, generating an adversarial sample by using a projection gradient descent algorithm; then, carrying out first-stage adversarial fine tuning training to reduce the sensitivity of the model to a backdoor trigger; and finally, performing second-stage fine tuning training through the clean sample, and gradually recovering the classification performance of the model on the original data.

The invention belongs to the technical field of electric power safety. The invention provides a bus operation state monitoring system and method based on a bus merging unit device. The method comprises the following steps: controlling a camera to shoot a high-definition image of a bus, and extracting operation state data of the bus from the high-definition image based on an inspection plan; performing anomaly analysis on the operation state data by using an anomaly prediction composite model to obtain an anomaly type and an anomaly probability of the bus; and when the abnormal probability is higher than a probability threshold value, generating and outputting an alarm signal of an abnormal type. According to the method, appearance characteristics of three abnormal conditions, namely the bus connection part defect, the bus surface defect and the bus overheating defect, of the bus are extracted through an image recognition technology, whether the abnormal condition, especially the bus overheating defect exists or not is judged or speculated, and an infrared sensor does not need to be configured; therefore, the hardware complexity and the implementation cost of monitoring equipment are obviously reduced.

The invention provides a method, system and device for collecting MODBUS device data based on an Internet of Things platform and a medium, and belongs to the technical field of data conversion, and the method comprises the following steps: obtaining point table information of a target MODBUS device, MODBUS channel information for data collection of the target MODBUS device, and point position information configuration; creating a product model, a device model and an object model for the target MODBUS device on the Internet of Things platform, and carrying out mapping relation binding with point location information of data acquisition of the target MODBUS device; reading data from the target MODBUS equipment according to the bound mapping relation, and storing the data according to a preset storage strategy; and converting the read target MODBUS equipment data into standard data which can be identified by the Internet of Things platform. The MODBUS equipment data is efficiently converted into the Internet of Things standard data, the cost period is shortened, and the method is compatible with a multi-equipment platform.

The invention provides a method and a system for diagnosing and estimating the state of health of a fuel cell based on polarization characteristics, and relates to the technical field of fuel cells, and the method comprises the following steps: constructing a proton exchange membrane fuel cell model based on a multi-condition multi-physical field, extracting health state characteristics of the to-be-diagnosed battery from the proton exchange membrane fuel cell model under a preset typical working condition; and inputting the health state characteristics into a trained fuel cell health state diagnosis model to obtain the health state of the to-be-diagnosed battery evaluated by the fuel cell health state diagnosis model. The method not only can accurately diagnose the health state of the fuel cell, but also is low in implementation difficulty and cost and relatively high in interpretability, so that the dependence of high-precision diagnosis of the health state of the fuel cell on expert experience is reduced.

The invention discloses a DHCP (Dynamic Host Configuration Protocol) security protection method and device combining an access position and third-party authentication, which effectively identify and prevent the access of illegal equipment through identity authentication and an access position binding mechanism and reduce the possibility of implementing network attacks by fake identity or disguised equipment. And through real-time abnormity monitoring and alarming, the difficulty of tracing after the event is reduced. According to the method, the configuration of the client does not need to be changed, an operator can quickly deploy and implement, and the existing network architecture does not need to be modified on a large scale. Through the automatic authentication and binding process of the system, the operation burden of an administrator is relieved, and the overall management efficiency is improved. According to the embodiment of the invention, through detailed recording and unique binding of each access device, an accurate device access history can be provided, and tracking and responsibility investigation can be conveniently carried out when a security event occurs. The scheme only depends on the existing network facilities, no extra hardware equipment needs to be purchased for implementing the scheme, and the implementation cost is reduced.

The embodiment of the invention provides a warehousing system. The warehousing system comprises a storage area, a tallying robot, a transmission track and a track robot. A plurality of goods shelves are arranged in the storage area at intervals; the goods shelf comprises a storage space and a butt joint space; at least one storage layer is arranged in the storage space; a buffer layer is arranged in the docking space; the tallying robot is movably arranged on the outer side of the goods shelf in the length direction and used for carrying goods between the storage layer and the temporary storage layer of the goods shelf. The conveying track is arranged in the butt joint space in the length direction of the goods shelf and is parallel to the buffering layer. The rail robot is movably arranged on the conveying rail and used for moving along the conveying rail so as to move the goods on the cache layer of the goods shelf out of the goods shelf or move the goods outside the goods shelf to the cache layer. Compared with the ground, the conveying track is smoother and smoother, so that the track robot runs stably, the running speed is high, the cargo carrying efficiency is high, and the warehouse-in and warehouse-out efficiency is improved.

The present invention discloses a method for detecting light intensity, a method for intelligently adjusting light intensity, and related equipment. The method for detecting light intensity includes: generating multiple target video frames based on a video stream output by a camera shooting a target environment; extracting brightness information of each target video frame respectively, and calculating an average brightness value based on the brightness information; converting each average brightness value into a light intensity value based on a light intensity model; calculating the average value of each light intensity value to obtain a light intensity value corresponding to the target environment. The method for intelligently adjusting light intensity includes: obtaining a video stream output by a camera shooting a current environment, detecting the video stream using a light intensity detection method, and outputting a light intensity value corresponding to the environment; determining whether the current light intensity value meets a condition; if not, calculating a deviation value, and adjusting the brightness of the fill light in real time based on the deviation value. The present invention reduces the implementation cost of light intensity detection while ensuring the accuracy of light intensity detection.

The invention discloses a method for preparing flaky copper powder with a controllable particle size through chemical synthesis, which comprises the following steps: S1, preparing a copper source aqueous solution with a copper ion concentration of 0.5-1.5 mol / L, and heating the copper source aqueous solution to 60 DEG C at a heating rate of 1-2 DEG C / min; s2, the copper source water solution obtained in the step S1 is heated to 68-80 DEG C at the heating rate of 1.0-3.5 DEG C / h, polyvinylpyrrolidone is added into the copper source water solution in the heating process and evenly dispersed, then cyclodextrin is added and evenly dispersed, heat preservation is conducted for 25-35 min under the stirring condition after feeding is completed, and a reaction solution is obtained; and S3, a reducing agent is added into the reaction solution obtained in the step S2 and evenly dispersed, the molar ratio of the input amount of the reducing agent to the copper ions is 1: (1.2-1.8), the heat preservation reaction is conducted for at least 3 h, cooling and separation are conducted, and the copper powder with the average particle size being 1-8 microns and the flaky particle content being 35-60% is obtained. The invention correspondingly provides the flaky copper powder prepared by the method.

The present invention relates to a method for producing reprogrammed cells from somatic cells without gene introduction. The method comprises: (a) culturing somatic cells in a medium containing a histone deacetylase inhibitor; and (b) culturing the cells cultured in step (a) in a medium containing an OCT3 / 4 transcription stimulating factor to produce reprogrammed cells.

The invention provides a zero or few sample stand detection method based on comparative learning and prompt learning. The method comprises the following steps: performing word segmentation and coding on an input sentence, and then performing instance generation and prompt word embedding; performing prompt learning by utilizing a BERT model, so that a standing detection task is converted into a gap filling test task, and standing inference is realized; constructing a gating multi-layer sensor in the BERT model, and realizing a vertical field detection task under the condition of zero or few samples; in the BERT model, utilizing a contrast learning framework to learn difference of vertical texts, strengthening similarity of samples of the same kind and improving distinction degree of samples of different kinds; and training and optimizing the BERT model to realize the vertical field detection under the condition of zero or few samples. According to the method, the powerful representation capability of comparative learning and the flexibility of prompt learning are fully utilized, the overall performance and effect of zero / few sample standing field detection are improved, the implementation cost of a standing field detection task is reduced, and the application range of the method is further widened.

The invention discloses a security control system 2M communication encryption method and a security control system 2M communication encryption system based on dynamic encryption, which realize encryption and decryption of inter-station 2M communication data by combining the high efficiency of symmetric encryption and the security of asymmetric encryption. The safety control system communication interface conversion device comprises a central processing unit (CPU), a field programmable gate array (FPGA), an Ethernet PHY physical layer chip and the like. The FPGA of the communication interface conversion device is integrated with a communication encryption and decryption IP core and is responsible for realizing encryption and decryption of application communication data, generation of a shared session key, dynamic updating and verification processes and improving the reliability and safety of communication; the CPU is connected with the FPGA through a parallel bus and is responsible for the unpacking and packing processing function of interface conversion application layer data. According to the method, symmetric encryption and asymmetric encryption are combined, and the secret key is dynamically updated, so that the method is suitable for practical engineering, the security problem and the replay attack problem in conventional communication can be solved, and the security and reliability of the system are improved.

The invention discloses a high-temperature superconductive electric suspension test method and system, and relates to the technical field of magnetic levitation, the test system builds a high-temperature superconductive electric suspension force-magnetism-electricity simulation system, and a vehicle is statically suspended by applying different currents to a fixedly arranged coil module. According to the invention, the actual operation conditions of the train at different suspension speeds can be simulated, so that the detected system state of the test system under the test condition can reflect the actual system state of the train system under the test condition to a certain extent under the condition that the test parameters correspond to the test parameters, that is, the system state of the train system under the test condition can be simulated. According to the invention, the simulation test task of the actual train system is realized by means of the test system which is greatly different from the actual train system in size. In the test process, the vehicle is kept static in the advancing direction, so that only the vehicle bearing platform and the coil module which are close to the vehicle in size need to be built, a long-size test circuit does not need to be built, the structure is simple, and the implementation cost of the test is reduced.

The invention provides a lane recognition method, electronic equipment and a storage medium, the method is used for a lane recognition system, the system comprises a first positioning module and a vehicle controller, and the method comprises the following steps: the vehicle controller obtains communication information sent by the first positioning module; obtaining lane occupation information of the first positioning module and target coordinate information of the first positioning module according to the communication information; and determining lane identification information according to the lane occupation information and the target coordinate information. The road condition information sources are increased by acquiring the communication information, so that the vehicle can accurately and stably identify the road condition under some extreme conditions, and accurate identification and positioning of the lane level are realized by acquiring the lane occupation information and the target coordinate information; obstacles on a road, traffic control, accident information and the like are obtained by determining the lane recognition information, so that the vehicle using experience and driving safety of a user are improved, the lane recognition method is used for the lane recognition system, and the system is easy to implement, low in implementation cost and wide in application range.

The invention provides a fuel cell water content estimation method and system based on a physical information neural network, and relates to the technical field of fuel cells, and the method comprises the following steps: obtaining an original frequency domain impedance characteristic and a measurable variable time sequence of a to-be-estimated cell, eliminating frequency domain redundant data in the original frequency domain impedance characteristic, and calculating the water content of the to-be-estimated cell; performing equivalent mapping on the measurable variable time sequence to obtain an equivalent mapping sequence, processing the screened frequency domain features by using a self-attention mechanism to obtain frequency domain self-attention features, and performing feature connection on the equivalent mapping sequence and the frequency domain self-attention features to obtain space-time heterogeneous features; and inputting the space-time heterogeneous features into a trained fuel cell water content estimation model to obtain the multi-modal water prediction content of the to-be-estimated cell output by the fuel cell water content estimation model. The method not only can accurately estimate the multi-modal water content of the fuel cell, but also is low in calculation cost and relatively high in interpretability.

The invention relates to the technical field of motor fault diagnosis, in particular to an on-line diagnosis method for insulation potential grounding of an inverter driving traction motor, and mainly solves the technical defects that the operation period is influenced and the detection accuracy is low in the existing stator insulation off-line detection. According to the method, firstly, zero-sequence current data and zero-sequence unbalance degree are calculated according to motor three-phase stator current data, secondly, the zero-sequence current data are preprocessed, then wavelet packet noise reduction is carried out, high-frequency noise interference in zero-sequence current is filtered out, the signal-to-noise ratio of signals is improved, then, Hilbert envelope demodulation analysis is carried out on the filtered signals, and finally, the zero-sequence unbalance degree is obtained. And finally, in the envelope spectrum, an amplitude value at a fault characteristic frequency is extracted, a signal energy value in a frequency band near the frequency is calculated, and dynamic learning, analysis and judgment of a fault threshold are carried out in combination with a zero-sequence unbalance degree, so that insulation potential grounding online diagnosis is realized.

The embodiment of the invention discloses a certificate image quality detection method and device, a computer readable storage medium and electronic equipment, and the method comprises the steps: building an encoder and a decoder through a visual state space module in advance, a lightweight target detection model is obtained by sequentially connecting the encoder, the decoder and the detection head module; therefore, the lightweight target detection model can be utilized to detect the certificate image of the target certificate of the user, so as to generate a detection result for detecting whether the certificate image of the user has a preset quality problem or not.

An air volume and internal volume ratio adjusting mechanism of a double-screw compressor comprises a power source, a transmission mechanism and a slide valve. The power source is in transmission connection with the sliding valve through a transmission mechanism so as to drive the sliding valve to move and change the air volume and the internal volume ratio of the double-screw compressor, and the double-screw compressor is characterized in that the power source is a turning motor of the double-screw compressor, and the transmission mechanism comprises a first disc buckle, a second disc buckle and a threaded shaft; the threaded shaft is rotationally arranged on a machine shell of the double-screw compressor, and the first disc buckle is installed at one end of the threaded shaft and can drive the threaded shaft to rotate bidirectionally and synchronously. The slide valve is sleeved outside the threaded shaft; an internal thread of the slide valve is spirally connected with an external thread of the threaded shaft; a shell of the turning motor is detachably connected with a machine shell of the double-screw compressor, a power output shaft of the turning motor is in key connection with the second disc buckle, and the second disc buckle is detachably connected with the first disc buckle and can drive the first disc buckle to rotate bidirectionally and synchronously. The device is simple in structure, low in implementation cost and accurate in adjustment.

The invention relates to the technical field of data analysis and prediction, in particular to an in-park tourist monitoring and predicting method and system based on multi-modal data analysis, and discloses a scenic spot in-park tourist number real-time monitoring and predicting method based on fusion of different-modal data analysis and multi-model integration. According to the invention, on the basis of a neural network technology, multi-modal data such as signaling data, traffic checkpoints, video monitoring, scenic area wifi-hotspot and weather data are taken as basic data, and a multi-model fusion prediction technology is combined, so that real-time in-park passenger flow detection and prediction of the scenic area are realized. The method integrates more passenger flow influence factors and the like, is more accurate and scientific than a traditional data superposition calculation method, is low in implementation cost, and has high generalization performance.

The invention discloses a method for carrying out moisture absorption prevention treatment on superfine AP by using modified silicon dioxide, which comprises the following steps of: introducing a functional group structure on the surface of nano silicon dioxide by using a silane coupling agent to carry out low surface energy modification, and preparing modified nano silicon dioxide with super-hydrophobic performance; and adding the modified nano silicon dioxide particles into a superfine AP organic solvent, and carrying out ultrasonic treatment and stirring for a certain time to obtain superfine AP particles coated with the modified nano silicon dioxide. As the particle size of the AP particles is reduced, the specific surface area is increased, and the binding sites with the nano silicon dioxide particles are increased, so that the AP particles are relatively firmly coated on the surface of the AP. The nano silicon dioxide particles coated on the superfine AP can bring certain steric hindrance and simultaneously endow the superfine AP with certain hydrophobic performance, so that the superfine AP particles are prevented from moisture absorption, agglomeration and caking. The method is simple to operate, safe and efficient, the superfine AP is uniformly coated, and the hygroscopicity of the AP is obviously reduced.

The invention discloses a metallized film capacitor health state assessment method and system based on audible noise signal analysis, a medium and equipment, and the method comprises the steps: building a discharge noise monitoring experiment loop; the metalized film capacitors in different health states are detached and connected to the discharge noise monitoring experiment loop; an alternating current and direct current superposition voltage experiment is carried out in the discharge noise monitoring experiment loop, the temperature of the metallized film capacitor in different health states is kept at 25 DEG C constantly in the experiment process, after pressurization is completed, noise waveforms are collected for 10 s to obtain noise waveform data, and voltage reduction and experiment stopping are carried out on the metallized film capacitor; according to the noise waveform data, respectively calculating sound pressure level levels of the metallized film capacitor in different health states, and simultaneously carrying out FFT analysis to obtain frequency domain characteristics of the metallized film capacitor; and acquiring a reference value of the sound pressure level at the initial operation moment, and judging the health state of the metallized film capacitor according to the sound pressure level and the frequency domain characteristics to obtain health or failure classification.

The invention belongs to the technical field of sludge treatment, and particularly relates to an aerobic granular sludge sewage treatment process applied to a continuous flow activated sludge process. A pelletizing agent is added into a granular sludge incubator, so that the pelletizing agent is in targeted combination with filamentous bacteria in activated sludge to form granular sludge, the granular sludge and flocculent sludge are effectively separated through a cyclone separation system, the granular sludge continuously flows back into a biochemical system, and the flocculent sludge is discharged into a sludge concentration tank or a sludge storage tank for dehydration treatment. According to the present invention, the AGS is rapidly cultured and the stable operation is maintained in the current or new continuous flow activated sludge process, such that the treatment water amount of the traditional continuous flow sewage treatment process can be subjected to in-situ capacity expansion, the impact load resistance can be enhanced, the addition amount of the phosphorus and nitrogen removal agent can be reduced, and the in-situ excess sludge can be reduced.

The invention discloses a circuit and a method for detecting disconnection of a switching control loop, and the circuit comprises a switching control switch, a closing loop disconnection detection optocoupler, an opening loop disconnection detection optocoupler, a third current-limiting resistor, and a fifth current-limiting resistor. The other end of the switch-on loop disconnection detection optical coupler is connected to the input end of the input side of the switch-off loop disconnection detection optical coupler; the output end of the input side of the closing loop disconnection detection optocoupler is connected to the negative electrode of the power supply of the circuit breaker operating mechanism after passing through a circuit breaker closing contact and a closing coil; and the output end of the input side of the opening loop disconnection detection optocoupler is connected to the negative electrode of the power supply of the circuit breaker operating mechanism after passing through the circuit breaker opening contact and the opening coil. The on-off state of the control loop disconnection detection circuit can be adjusted according to needs through the on-off switch, on-site maintenance is facilitated, and timely detection of control loop disconnection can be achieved.

The invention discloses a coal and oil shale oil gas resource co-mining system and method. According to the system, an injection device comprises a pressurizing direct flow pipe, a feeding pipe and a mixer; the pressurizing direct flow pipe is connected with the injection well; the feeding pipe and the mixer are connected to the pressurizing direct flow pipe; the gasifying agent adjusting device comprises a flow adjusting valve and a flow meter; the flow regulating valve is connected in series to the pressurizing direct flow pipe; a separation device in the extraction assembly is connected with an extraction well; the three-dimensional geological monitor is arranged on the earth surface; the temperature probe is mounted on the side wall of the production well; the pressure probe is mounted on the side wall of the injection well; a product meter in the collection assembly is connected with a separation device; the method comprises the steps that high-temperature water vapor and pure oxygen are mixed through a mixer to form a gasifying agent, then the gasifying agent is injected into a coal seam goaf, the gasifying agent and residual coal are subjected to a combustion reaction to generate high-temperature coal gas, the high-temperature coal gas and overlying oil shale are subjected to a pyrolytic reaction to generate an oil-gas mixture, and the oil-gas mixture is extracted to the earth surface to be separated. By means of the system and method, efficient and green co-mining of coal and oil shale can be achieved.

The present invention relates to a method for positioning individual rTMS functional specific targets without navigation, and belongs to the field of target positioning. The method comprises S1, calculating the position of the cortical target; S2, segmenting the brain tissue of the standard brain template to obtain a standard and complete skull and scalp image; S3, outlining the edge of the skull and scalp image to obtain an edge image; S4, outlining the outermost edge on the edge image to obtain a standard scalp mask; S5, transferring the standard scalp mask to the individual space, and then registering with the individual image to obtain an individual scalp mask; S6, mapping the cortical target obtained in step S1 to the individual scalp mask to obtain a scalp target; S7, creating a coordinate system on the individual scalp mask, reading the coordinates of the scalp target, the highest points of the two auricles, the root of the nose and the occipital protuberance; S8, determining the position of the scalp target according to the positional relationship between the scalp target and the highest points of the two auricles, the root of the nose and the occipital protuberance. The present invention does not need to adopt a professional navigation and positioning system, and has low implementation cost.

The invention discloses a combat simulation operation state archiving and recovering method and system and a medium, and relates to the technical field of combat simulation storage. The invention provides a simulation running state archiving and recovering method and system based on a container virtualization technology, an environment when a simulation system runs is taken as a whole, a simulation engine runs in a virtualization container, and when archiving is needed, overall storage of the simulation running environment is achieved through the container. According to the method, complete archiving and recovery of the simulation running state are achieved at a higher level, the complete simulation running state including data running in a memory can be ensured, the problem that the simulation running state cannot be completely stored or recovered in the prior art is solved, and complete archiving and recovery of the simulation running state are achieved; and a simulation engine and a simulation model do not need to be additionally modified, so that the implementation cost can be effectively reduced.