The Implementation of Precise Point Positioning (PPP): A Comprehensive Review.

High-precision positioning from Global Navigation Satellite Systems (GNSS) has garnered increased interest due to growing demand in various applications, like autonomous car navigation and precision agriculture. Precise Point Positioning (PPP) offers a distinct advantage over differential techniques by enabling precise position determination of a GNSS rover receiver through the use of external corrections sourced from either the Internet or dedicated correction satellites. However, PPP's implementation has been challenging due to the need to mitigate numerous GNSS error sources, many of which are eliminated in differential techniques such as Real-Time Kinematics (RTK) or overlooked in Standard Point Positioning (SPP). This paper extensively reviews PPP's error sources, such as ionospheric delays, tropospheric delays, satellite orbit and clock errors, phase and code biases, and site displacement effects. Additionally, this article examines various PPP models and correction sources that can be employed to address these errors. A detailed discussion is provided on implementing the standard dual-frequency (DF)-PPP to achieve centimeter- or millimeter-level positioning accuracy. This paper includes experimental examples of PPP implementation results using static data from the International GNSS Service (IGS) station network and a kinematic road test based on the actual trajectory to showcase DF-PPP development for practical applications. By providing a fusion of theoretical insights with practical demonstrations, this comprehensive review offers readers a pragmatic perspective on the evolving field of Precise Point Positioning.

Neuron Contact Detection Based on Pipette Precise Positioning for Robotic Brain-Slice Patch Clamps.

A patch clamp is the "gold standard" method for studying ion-channel biophysics and pharmacology. Due to the complexity of the operation and the heavy reliance on experimenter experience, more and more researchers are focusing on patch-clamp automation. The existing automated patch-clamp system focuses on the process of completing the experiment; the detection method in each step is relatively simple, and the robustness of the complex brain film environment is lacking, which will increase the detection error in the microscopic environment, affecting the success rate of the automated patch clamp. To address these problems, we propose a method that is suitable for the contact between pipette tips and neuronal cells in automated patch-clamp systems. It mainly includes two key steps: precise positioning of pipettes and contact judgment. First, to obtain the precise coordinates of the tip of the pipette, we use the Mixture of Gaussian (MOG) algorithm for motion detection to focus on the tip area under the microscope. We use the object detection model to eliminate the encirclement frame of the pipette tip to reduce the influence of different shaped tips, and then use the sweeping line algorithm to accurately locate the pipette tip. We also use the object detection model to obtain a three-dimensional bounding frame of neuronal cells. When the microscope focuses on the maximum plane of the cell, which is the height in the middle of the enclosing frame, we detect the focus of the tip of the pipette to determine whether the contact between the tip and the cell is successful, because the cell and the pipette will be at the same height at this time. We propose a multitasking network CU-net that can judge the focus of pipette tips in complex contexts. Finally, we design an automated contact sensing process in combination with resistance constraints and apply it to our automated patch-clamp system. The experimental results show that our method can increase the success rate of pipette contact with cells in patch-clamp experiments.

The Influence of Varying Atmospheric and Space Weather Conditions on the Accuracy of Position Determination.

Today's technological developments make it possible to use machines to perform specific tasks instead of humans. However, the challenge for such autonomous devices is to precisely move and navigate in constantly changing external environments. In this paper, the influence of varying weather conditions (air temperature, humidity, wind speed, atmospheric pressure, type of satellite systems used/satellites visible, and solar activity) on the accuracy of position determination was analyzed. To reach the receiver, a satellite signal must travel a great distance and pass through all layers of the Earth's atmosphere, the variability of which causes errors and delays. Moreover, the weather conditions for receiving data from satellites are not always favorable. In order to investigate the impact of delays and errors on position determination, the measurements of the satellite signal were conducted, the motion trajectories were determined, and the standard deviations of these trajectories were compared. The results obtained show that it is possible to achieve high precision in determining the position, but varying conditions, such as solar flares or satellites' visibility, meant that not all measurements are able to achieve the required accuracy. The use of the absolute method of satellite signal measurements contributed to this to a large extent. To increase the accuracy of positioning by GNSS systems, it is first of all proposed to use a dual-frequency receiver that eliminates ionospheric refractions.

Positioning with GNSS and 5G: Analysis of Geometric Accuracy in Urban Scenarios.

GNSS positioning in urban scenarios suffers for the scarce visibility of satellites. Integration with 5G services for positioning could improve this situation. In this paper, the digital surface models (DSMs) relevant to different urban scenarios, namely residential streets and urban canyons, are simulated around one observer in northern Italy (Milano) for one day of the year chosen as an example. The time series of the number of in-view GNSS satellites, their geometry and the derived quality indexes (position dilution of precision (PDOP)) are computed and analyzed. As expected, in urban canyons, a significant number of epochs does not provide four satellites within view, and many more epochs present really mediocre PDOPs. In residential streets, the situation is always quite fair. Different geometric configurations of 5G base stations are simulated around the observer. The availability of 5G times of arrival (ToAs) and their differences (TDoAs) is hypothesized, and the integration of these observations with GNSS pseudoranges is analyzed, again in terms of the PDOPs. In residential streets, 5G availability improves the positioning. In urban canyons, the optimal configuration of 5G base stations (five base stations around the observer) completely solves the positioning problem for all the epochs of the day. Less favorable configurations (four and three base stations) improve epochs with poor PDOPs in a GNSS-only configuration. They allow the positioning of epochs with few satellites but cannot completely replace the GNSS.

Ultrasonic manipulation for precise positioning and equidistant transfer of inertial confinement fusion microspheres.

As the thermonuclear fuel container, the inertial confinement fusion (ICF) microspheres must be detected before the ICF experiment to maximize the profits of fusion reactions. However, in the current detection method, the ICF microsphere is in direct contact with the measurement platform, resulting in the ICF microsphere surface being easily damaged during the detection process. In this paper, an ultrasonic manipulation method is proposed, realizing non-destructive, high-precision, and high-efficient manipulation of the ICF microsphere by switching the two acoustic fields produced in the liquid. When detecting the ICF microsphere, the first acoustic field (1st AF) accurately traps the microsphere in the acoustic field center to achieve its precise positioning. And when the ICF microsphere is failed to pass the detection, it is transferred out of the microscope measurement area by switching to the second acoustic field (2nd AF). Two solid vibration modes, their corresponding acoustic fields, and the two acoustic streaming fields are first computed by the finite element method. Then, the manipulation experiments indicated that the ICF microspheres can be first driven to the center of the 1st AF and then be positioned here with a minimum positional fluctuation of 1.1 µm. By changing to the 2nd AF, the positioned microsphere can be transferred nearly 11 mm to the nearest antinode from the acoustic field center. Finally, based on the proposed ultrasonic manipulation method, the detection experiments of the ICF microsphere were carried out, illustrating that the positioning of the 1st AF meets the requirements of the morphology detection and the radius measurement of the ICF microsphere. The proposed method holds the advantages of non-destructive, high-precision, simple control scheme and meets the practical application needs of the microsphere fixed-point detection, presenting the potential promise for the field of microsphere detection.

Size Prediction and Electrical Performance of Knitted Strain Sensors.

Benefitting from the multifunctional properties of knitted fabrics with elasticity, flexibility, and high resilience, knitted strain sensors based on structure and strain performance are widely utilized in sports health due to their adaptability to human movements. However, the fabrication process of common strain sensors mainly relies on experienced technicians to determine the best sensor size through repeated experiments, resulting in significant size errors and a long development cycle. Herein, knitted strain sensors based on plain knit were fabricated with nylon/spandex composite yarn and silver-plated nylon yarn using a flat knitting process. A size prediction model of knitted strain sensors was established by exploring the linear relationship between the conductive area size of samples and knitting parameters via SPSS regression analysis. Combined with stable structures and high performance of good sensitivity, stability, and durability, the knitted strain sensors based on size prediction models can be worn on human skin or garments to monitor different movements, such as pronunciation and joint bending. This research indicated that the reasonable size control of the knitted strain sensor could realize its precise positioning in intelligent garments, exhibiting promising potential in intelligent wearable electronics.

Fault-Free Protection Level Equation for CLAS PPP-RTK and Experimental Evaluations.

Centimeter level augmentation system (CLAS) of the quasi-zenith satellite system (QZSS) is the first precise point positioning-real time kinematic (PPP-RTK) augmentation system of the global navigation satellite system (GNSS), which is currently providing services for Japan. CLAS broadcasts the state-space representation of correction messages along with integrity messages regarding satellite faults and the quality index of each correction. In other GNSS augmentation systems, such as the space-based augmentation system (SBAS) of GNSS, the quality indices of correction messages are used to generate fault-free protection levels that represent a position bound containing a true user position with a probability of missed detections. Although the protection level equations are well defined for the SBAS, a protection level equation for the CLAS PPP-RTK service has not been rigorously discussed in the literature. This paper proposes a fault-free protection level equation for the PPP-RTK methods that considers the probability of correct integer ambiguity fixes in the GNSS carrier phase measurements as well as the CLAS correction quality messages. The computed protection levels with position errors were experimentally compared by processing the GNSS measurements from the GNSS Earth Observation Network (GEONET) stations in Japan and the L6 messages from the CLAS broadcast using the virtual reference station-real time kinematic (VRS-RTK) techniques. Our results, based on the GEONET dataset spanning 7 days, showed that the computed protection levels using the proposed equations were larger than the position errors for all epochs. In the dataset, the RMS errors of the CLAS VRS-RTK position were 4.6 and 14 cm in the horizontal and vertical directions, respectively, whereas the horizontal protection levels ranged from 25 cm to 2.3 m and the vertical protection levels ranged from 50 cm to 5.2 m based on fault-free integrity risk of 10-7.

[Development of Non-invasive Endoscope System with Magnetic Anchored Ablation Electrode for Early Cancer of Digestive Tract].

This study introduces a non-invasive gastrointestinal early cancer magnetic anchor ablation electrode endoscopy system, including a magnetic anchor module and ablation electrode module. The magnetic anchoring module is composed of an external guide magnet and an internal magnet, made of permanent magnet material NdFeB; the ablation electrode module is based on the modification of the front end lens hood of the existing endoscope (CMD-90D LED electronic upper gastrointestinal endoscope). The new endoscope system not only includes all the functions of the original endoscope, but also introduces magnetic anchoring to enable the ablation electrode to be accurately positioned and controllable in the process of treating tumors, avoiding the phenomenon of gastric perforation; the introduction of steep pulse electric field ablation electrodes realizes the purpose of non-invasive treatment. Its clinical application will become a new method to treat early cancer of the digestive tract.

Development of Non-invasive Endoscope System with Magnetic Anchored Ablation Electrode for Early Cancer of Digestive Tract / 中国医疗器械杂志

This study introduces a non-invasive gastrointestinal early cancer magnetic anchor ablation electrode endoscopy system, including a magnetic anchor module and ablation electrode module. The magnetic anchoring module is composed of an external guide magnet and an internal magnet, made of permanent magnet material NdFeB; the ablation electrode module is based on the modification of the front end lens hood of the existing endoscope (CMD-90D LED electronic upper gastrointestinal endoscope). The new endoscope system not only includes all the functions of the original endoscope, but also introduces magnetic anchoring to enable the ablation electrode to be accurately positioned and controllable in the process of treating tumors, avoiding the phenomenon of gastric perforation; the introduction of steep pulse electric field ablation electrodes realizes the purpose of non-invasive treatment. Its clinical application will become a new method to treat early cancer of the digestive tract.

Relative Positioning in Remote Areas Using a GNSS Dual Frequency Smartphone.

The use of GPS positioning and navigation capabilities in mobile phones is present in our daily lives for more than a decade, but never with the centimeter level of precision that can actually be reached with several of the most recent smartphones. The introduction of the new GNSS systems (Global Navigation Satellite Systems), the European system Galileo, is opening new horizons in a wide range of areas that rely on precise georeferencing, namely the mass market smartphones apps. The constant growth of this market has brought new devices with innovative capabilities in hardware and software. The introduction of the Android 7 by Google, allowing access to the GNSS raw code and phase measurements, and the arrival of the new chip from Broadcom BCM47755 providing dual frequency in some smartphones came to revolutionize the positioning performance of these devices as never seen before. The Xiaomi Mi8 was the first smartphone to combine those features, and it is the device used in this work. It is well known that it is possible to obtain centimeter accuracy with this kind of device in relative static positioning mode with distances to a reference station up to a few tens of kilometers, which we also confirm in this paper. However, the main purpose of this work is to show that we can also get good positioning accuracy using long baselines. We used the ability of the Xiaomi Mi8 to get dual frequency code and phase raw measurements from the Galileo and GPS systems, to do relative static positioning in post-processing mode using wide baselines, of more than 100 km, to perform precise surveys. The results obtained were quite interesting with RMSE below 30 cm, showing that this type of smartphone can be easily used as a low-cost device, for georeferencing and mapping applications. This can be quite useful in remote areas where the CORS networks are not dense or even not available.

Antennas as Precise Sensors for GNSS Reference Stations and High-Performance PNT Applications on Earth and in Space.

Satellite navigation is more and more important in a plethora of very different application fields, ranging from bank transactions to shipping, from autonomous driving to aerial applications, such as commercial avionics as well as unmanned aerial vehicles (UAVs). In very precise positioning, navigation, and timing (PNT) applications, such as in reference stations and precise timing stations, it is important to characterize all errors present in the system in order to account possibly for them or calibrate them out. Antennas play an important role in this respect: they are indeed the "sensor" that capture the signal in space from global navigation satellite systems (GNSS) and thereby strongly contribute to the overall achievable performance. This paper reviews the currently available antenna technologies, targeting specifically reference stations as well as precise GNSS antennas for space applications, and, after introducing performance indicators, summarizes the currently achievable performance. Finally, open research issues are identified, and possible approaches to solve them are discussed.

Cloud-Based Single-Frequency Snapshot RTK Positioning.

With great potential for being applied to Internet of Things (IoT) applications, the concept of cloud-based Snapshot Real Time Kinematics (SRTK) was proposed and its feasibility under zero-baseline configuration was confirmed recently by the authors. This article first introduces the general workflow of the SRTK engine, as well as a discussion on the challenges of achieving an SRTK fix using actual snapshot data. This work also describes a novel solution to ensure a nanosecond level absolute timing accuracy in order to compute highly precise satellite coordinates, which is required for SRTK. Parameters such as signal bandwidth, integration time and baseline distances have an impact on the SRTK performance. To characterize this impact, different combinations of these settings are analyzed through experimental tests. The results show that the use of higher signal bandwidths and longer integration times result in higher SRTK fix rates, while the more significant impact on the performance comes from the baseline distance. The results also show that the SRTK fix rate can reach more than 93% by using snapshots with a data size as small as 255 kB. The positioning accuracy is at centimeter level when phase ambiguities are resolved at a baseline distance less or equal to 15 km.

Robust Filtering Techniques for RTK Positioning in Harsh Propagation Environments.

Global navigation satellite systems (GNSSs) play a key role in intelligent transportation systems such as autonomous driving or unmanned systems navigation. In such applications, it is fundamental to ensure a reliable precise positioning solution able to operate in harsh propagation conditions such as urban environments and under multipath and other disturbances. Exploiting carrier phase observations allows for precise positioning solutions at the complexity cost of resolving integer phase ambiguities, a procedure that is particularly affected by non-nominal conditions. This limits the applicability of conventional filtering techniques in challenging scenarios, and new robust solutions must be accounted for. This contribution deals with real-time kinematic (RTK) positioning and the design of robust filtering solutions for the associated mixed integer- and real-valued estimation problem. Families of Kalman filter (KF) approaches based on robust statistics and variational inference are explored, such as the generalized M-based KF or the variational-based KF, aiming to mitigate the impact of outliers or non-nominal measurement behaviors. The performance assessment under harsh propagation conditions is realized using a simulated scenario and real data from a measurement campaign. The proposed robust filtering solutions are shown to offer excellent resilience against outlying observations, with the variational-based KF showcasing the overall best performance in terms of Gaussian efficiency and robustness.

Optimizing Global Navigation Satellite Systems network real-time kinematic infrastructure for homogeneous positioning performance from the perspective of tropospheric effects.

Real-time centimetre-level precise positioning from Global Navigation Satellite Systems (GNSS) is critical for activities including landslide, glacier and coastal erosion monitoring, flood modelling, precision agriculture, intelligent transport systems, autonomous vehicles and the Internet of Things. This may be achieved via the real-time kinematic (RTK) GNSS approach, which uses a single receiver and a network of continuously operating GNSS reference stations (CORS). However, existing CORS networks have often been established simply by attempting regular spacing or in clusters around cities, with little consideration of weather, climate and topography effects, which influence the GNSS tropospheric delay, a substantial GNSS positional error and which prevents homogeneous RTK accuracy attainment. Here, we develop a framework towards optimizing the design of CORS ground infrastructure, such that tropospheric delay errors reduce to 1.5 mm worth of precipitable water vapour (PWV) globally. We obtain average optimal station spacings of 52 km in local summer and 70 km in local winter, inversely related to the atmospheric PWV variation, with denser networks typically required in the tropics and in mountainous areas. We also consider local CORS network infrastructure case studies, showing how after network modification interpolated PWV errors can be reduced from around 2.7 to 1.4 mm.

Systematic Investigation of the Efficacy of Sinitang Decoction Against Ulcerative Colitis.

The aim of this study was to investigate the precise clinical use of Sinitang decoction (SNT) in ulcerative colitis (UC). Network pharmacology-based analysis of the drug components-targets-diseases-pathways was used to predict the possible clinical applications of SNT. Next, 2,4,6-trinitrobenzenesulfonic acid (TNBS) was used to establish a rat model of UC, and the efficacy of SNT against UC was tested, followed by a proteomic analysis of the specific signatures regulated by SNT against UC. SNT was predicted to be effective in inflammatory bowel disease, UC, and several other diseases. In the rats with UC, SNT decreased the disease activity index and colon mucosal damage index compared to the untreated UC model rats. Additionally, SNT reversed the upregulated levels of serum tumor necrosis factor (TNF)-α, prostaglandin E2 (PGE2), interleukin (IL)-6, and nitric oxide (NO) in UC model rats. The proteomic analysis identified 78 proteins that were differentially regulated by SNT in the rats with UC, which were associated with the Gene Ontology terms sulfur compound binding, calcium ion binding, and Toll-like receptor (TLR)-4 binding. Among these differentially regulated proteins, C-reactive protein (CRP) and collagen alpha-1(XII) chain (COL12A1) were found to be signature proteins associated with the efficacy of SNT against UC. This study represents the first precise investigation of the efficacy and mechanisms of SNT against UC, and shows that SNT is a promising candidate for personalized management of UC.

[Study on precise mechanism of Chinese patent medicine from perspective of activating data].

Traditional Chinese medicine(TCM) syndrome differentiation and treatment has a characteristic and advantageous efficacy in the prevention and treatment of major diseases(no matter for new or sudden infectious diseases or major chronic diseases). At present, the clinical application by Western medicine disease's name, stage, classification and other indications limits the role of TCM syndrome differentiation and treatment, and makes TCM difficult to play its advantages. Therefore, the therapeutic value and social value attribute of Chinese patent medicine after being launched in the market cannot be effectively demonstrated, or even generalized as adjuvants. Under the circumstances, it is difficult to put forward precise positioning different from chemical drugs, with fewer high-level and high-quality evidence-based evidences for precise positioning. The research on the pathological links and therapeutic mechanism of its effect on diseases is also less systematic. The development of biotechnology, such as genomics, has brought medicine into the era of precision, providing ideas and technical support for the exploration of syndrome biomarkers and the analysis of therapeutic mechanism with them as parameters. Digital China Think Tank Forum once mentioned that the development of sequencing technology provides 100% of human genetic code, while only 3% can understand it. Block data 4.0: activation data in the era of artificial intelligence puts forward the concept of activation data, which can be regarded as a theoretical hypothesis for big data, provides a new cognitive thinking and solution for increasingly prominent data paradox between bioinformation explosion and clinical big data, and is a bridge between cross-border data association and fusion. After deeply mining the dominant and recessive value of clinical data and histological data, we can make the pathogenesis of syndrome differentiation and treatment from dark knowledge to clear knowledge. Therefore, with Chinese patent medicine as the guide, the research on the efficacy and mechanism of precise positioning of traditional Chinese medicine after marketing is carried out, and the precise system of "syndrome, disease, function, pathological link and biological connotation" is constructed, which provides a powerful basis and support for increasing the scientific and technological content of varieties.

Positioning Performance Limits of GNSS Meta-Signals and HO-BOC Signals.

Global Navigation Satellite Systems (GNSS) are the main source of position, navigation, and timing (PNT) information and will be a key player in the next-generation intelligent transportation systems and safety-critical applications, but several limitations need to be overcome to meet the stringent performance requirements. One of the open issues is how to provide precise PNT solutions in harsh propagation environments. Under nominal conditions, the former is typically achieved by exploiting carrier phase information through precise positioning techniques, but these methods are very sensitive to the quality of phase observables. Another option that is gaining interest in the scientific community is the use of large bandwidth signals, which allow obtaining a better baseband resolution, and therefore more precise code-based observables. Two options may be considered: (i) high-order binary offset carrier (HO-BOC) modulations or (ii) the concept of GNSS meta-signals. In this contribution, we assess the time-delay and phase maximum likelihood (ML) estimation performance limits of such signals, together with the performance translation into the position domain, considering single point positioning (SPP) and RTK solutions, being an important missing point in the literature. A comprehensive discussion is provided on the estimators' behavior, the corresponding ML threshold regions, the impact of good and bad satellite constellation geometries, and final conclusions on the best candidates, which may lead to precise solutions under harsh conditions. It is found that if the receiver is constrained by the receiver bandwidth, the best choices are the L1-M or E6-Public Regulated Service (PRS) signals. If the receiver is able to operate at 60 MHz, it is recommended to exploit the full-bandwidth Galileo E5 signal. In terms of robustness and performance, if the receiver can operate at 135 MHz, the best choice is to use the GNSS meta-signals E5 + E6 or B2 + B3, which provide the best overall performances regardless of the positioning method used, the satellite constellation geometry, or the propagation conditions.

Performance Limits of GNSS Code-based Precise Positioning: GPS, Galileo & Meta-Signals.

This contribution analyzes the fundamental performance limits of traditional two-step Global Navigation Satellite System (GNSS) receiver architectures, which are directly linked to the achievable time-delay estimation performance. In turn, this is related to the GNSS baseband signal resolution, i.e., bandwidth, modulation, autocorrelation function, and the receiver sampling rate. To provide a comprehensive analysis of standard point positioning techniques, we consider the different GPS and Galileo signals available, as well as the signal combinations arising in the so-called GNSS meta-signal paradigm. The goal is to determine: (i) the ultimate achievable performance of GNSS code-based positioning systems; and (ii) whether we can obtain a GNSS code-only precise positioning solution and under which conditions. In this article, we provide clear answers to such fundamental questions, leveraging on the analysis of the Cramér-Rao bound (CRB) and the corresponding Maximum Likelihood Estimator (MLE). To determine such performance limits, we assume no external ionospheric, tropospheric, orbital, clock, or multipath-induced errors. The time-delay CRB and the corresponding MLE are obtained for the GPS L1 C/A, L1C, and L5 signals; the Galileo E1 OS, E6B, E5b-I, and E5 signals; and the Galileo E5b-E6 and E5a-E6 meta-signals. The results show that AltBOC-type signals (Galileo E5 and meta-signals) can be used for code-based precise positioning, being a promising real-time alternative to carrier phase-based techniques.

Study on precise mechanism of Chinese patent medicine from perspective of activating data / 中国中药杂志

Traditional Chinese medicine(TCM) syndrome differentiation and treatment has a characteristic and advantageous efficacy in the prevention and treatment of major diseases(no matter for new or sudden infectious diseases or major chronic diseases). At present, the clinical application by Western medicine disease's name, stage, classification and other indications limits the role of TCM syndrome differentiation and treatment, and makes TCM difficult to play its advantages. Therefore, the therapeutic value and social value attribute of Chinese patent medicine after being launched in the market cannot be effectively demonstrated, or even generalized as adjuvants. Under the circumstances, it is difficult to put forward precise positioning different from chemical drugs, with fewer high-level and high-quality evidence-based evidences for precise positioning. The research on the pathological links and therapeutic mechanism of its effect on diseases is also less systematic. The development of biotechnology, such as genomics, has brought medicine into the era of precision, providing ideas and technical support for the exploration of syndrome biomarkers and the analysis of therapeutic mechanism with them as parameters. Digital China Think Tank Forum once mentioned that the development of sequencing technology provides 100% of human genetic code, while only 3% can understand it. Block data 4.0: activation data in the era of artificial intelligence puts forward the concept of activation data, which can be regarded as a theoretical hypothesis for big data, provides a new cognitive thinking and solution for increasingly prominent data paradox between bioinformation explosion and clinical big data, and is a bridge between cross-border data association and fusion. After deeply mining the dominant and recessive value of clinical data and histological data, we can make the pathogenesis of syndrome differentiation and treatment from dark knowledge to clear knowledge. Therefore, with Chinese patent medicine as the guide, the research on the efficacy and mechanism of precise positioning of traditional Chinese medicine after marketing is carried out, and the precise system of "syndrome, disease, function, pathological link and biological connotation" is constructed, which provides a powerful basis and support for increasing the scientific and technological content of varieties.