Pattern recognition technology is applied to bridge health monitoring to solve abnormalities in bridge health monitoring data. Testing is of great significance. For abnormal data detection, this paper proposes a single variable pattern anomaly detection method based on KNN distance and a multivariate time series anomaly detection method based on the covariance matrix and singular value decomposition. This method first performs compression and segmentation on the original data sequence based on important points to obtain multiple time subsequences, then calculates the pattern distance between each time subsequence according to the similarity measure of the time series, and finally selects the abnormal mode according to the KNN method. In this paper, the reliability of the method is verified through experiments. The experimental results in this paper show that the 5/7/9 / 11-nearest neighbors point to a specific number of nodes. Combined with the original time series diagram corresponding to the time zone view, in this paragraph in the time, the value of the temperature sensor No. 6 stays at 32.5 degrees Celsius for up to one month. The detection algorithm controls the number of MTS subsequences through sliding windows and sliding intervals. The execution time is not large, and the value of K is different. Although the calculated results are different, most of the most obvious abnormal sequences can be detected. The results of this paper provide a certain reference value for the study of abnormal detection of bridge health monitoring data.

Disseminated peritoneal leiomyomatosis (DPL) is a rare benign disease characterized by tumors derived from smooth muscles throughout the abdominal cavity. DPL has been reported following laparoscopic myomectomy or hysterectomy; however, few reports have described DPL after abdominal myomectomy or hysterectomy. In the present case, two intra-abdominal masses were incidentally discovered on imaging during a routine medical checkup of a 45-year-old woman who had undergone laparoscopic uterine myomectomy 10 years previously. The masses were later found to be near the ascending colon and between the liver and right kidney. A malignancy or stromal tumor was suspected, and the patient underwent exploratory surgery. Histopathologic examination revealed that the masses were leiomyomas. Considering the patient’s history of gynecologic surgery, we believe that this was a rare case of DPL following laparoscopic uterine myomectomy.

Mine water inrush occurs frequently in China, and it can cause serious economic losses and heavy casualties. Thus, it is very important to realize risk assessment of mine water inrush. After collecting 4082 journal documents on risk assessment of mine water inrush from 2009 to 2019 in CNKI journal database, and using CiteSpace visualization software to do data analysis, the research hotspot and frontier trend in mine water inrush research in China are obtai ned. The prevention and prediction of different types of water disasters is a major trend in this field.

No abstract