Two of the scarab beetle species examined here, Holotrichia oblita and Anomala corpulenta, show approximately 24 h intervals between locomotoractivity events; whereas, a third species, H. parallela, shows approximately 48 h intervals. We collected head tissues from all three species at a single time point, when the two 24 h rhythm species were activeand the 48 h rhythm species was not, and profiled their transcriptomes. Core clock genes showed comparable transcripts per million (TPM) valuesacross species at this time point. Expression differences were observed in genes involved in phototransduction (Gq alpha subunit isoforms) and mitochondrial energy metabolism (adenine nucleotide translocase isoforms). Additionally, 22 orthologs, including genes related to the ubiquitination cascade and 20S proteasome subunits, showed varying TPM values across species. Protein–protein interaction network analysis showed that many of these genes with varying TPM values cluster into conserved functional modules. This work is therefore presented solely as a descriptive transcriptome resource for these three beetle species at the collection time point.

Wheat aphids are the primary pests in wheat-producing areas, posing a serious threat to stable, high wheat yields and regional food security. To detect and count wheat aphids under different complex conditions, this study designed an improved model and developed a mini program. Firstly, we constructed a dual-source dataset containing 542 images collected from indoor and field environments, including 117 indoor images and 425 field images. Secondly, we proposed Aphid Identification and Detection YOLO (AID-YOLO), an enhanced YOLO11n-based method for close-range wheat aphid detection and image-level counting. Specifically, the original downsampling structure was replaced with the ADown module to improve feature extraction efficiency while reducing redundant computation, an IEMA multi-scale attention mechanism integrating IRMB and EMA was introduced to strengthen feature learning under complex background interference, and the dynamic upsampling operator DySample was adopted to enhance cross-scale feature fusion. Finally, AID-YOLO achieved a 19.0% reduction in parameter count (2.09 M vs. 2.58 M) and a 19.0% decrease in computational cost (5.1 vs. 6.3 GFLOPs). Across three random seeds, AID-YOLO achieved an average mAP50 of 95.3 ± 0.10%, compared with 93.0 ± 0.39% for the YOLO11n baseline on the combined indoor–field evaluation set. These results suggest that AID-YOLO achieves a favorable balance between detection accuracy and model lightweighting under the tested indoor and field conditions, providing a useful technical reference for intelligent wheat aphid monitoring.

Holotrichia parallela is among the world’s most destructive pests. For accurate qPCR and gene expression studies, the selection of stable and appropriate reference genes is crucial. However, a thorough evaluation of potential reference genes for use in H. parallela research is lacking. In this study, 11 reference genes (GAPDH, RPL32, RPL7A, RPS18, RPL13a, RPL18, Actin, RPS7, RPS3, VATB,and EF1A) were evaluated under different biological conditions and environmental stresses. The stability of 11 potential reference gene transcripts was evaluated through various computational tools, including geNorm, BestKeeper, NormFinder, theΔCt method, and the RefFinder program. Under various developmental stages and RNAi conditions, RPL18 and RPL13a exhibited the greatest stability. RPL13a, RPL18, and RPL32 were the most stable genes in both male and female adults. Under differing tissue conditions, RPL13a and RPS3 stood out as the most reliable. Moreover, under varying photoperiod conditions, RPL13a, RPS3 and RPL32 were the most stable genes. Lastly, Actin and RPL13a were the most stable genes across different temperatures. These findings offer essential criteria for selecting suitable reference genes across diverse experimental settings, thereby establishing a solid basis for accurate gene expression studies in H. parallela using RT-qPCR.

The loreyi leafworm Mythimna loreyi (Lepidoptera: Noctuidae) is a serious pest of agriculture that causes particular damage to Gramineae crops in Asia, Europe, Australia, Africa, and the Middle East. Low temperature is one of the important environmental factors that limits the survival, distribution, colonization, and abundance of M. loreyi. However, the metabolic synthesis pathways of cold-tolerant substances in M. loreyi and the key genes involved in the regulation under cold stress remain largely unknown. In this study, we sequenced the transcriptomes of three developmental stages (larvae, pupae, and adults) of M. loreyi to discover the molecular mechanisms of their responses to cold stress. In total, sequencing generated 120.64 GB of clean data from 18 samples, of which 19,459 genes and 1740 differentially expressed genes (DEGs) were identified. The enrichment analysis of Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) revealed that many DEGs were mainly enriched in pathways associated with energy metabolism and hormone metabolism. Among these, genes encoding multiple metabolic enzymes, cuticle proteins (CPs), and heat shock proteins (HSPs) were differentially expressed. These results indicate that there are significant differences among the three developmental stages of M. loreyi exposed to cold stress and provide a basis for further studying the molecular mechanisms of cold tolerance in insects.

Interspecies competition affects the distribution, quantity, and community structure of insects, especially among closely-related (congeners) species. Some ecological factors differentially affect the fitness of co-existing species, thus conferring an advantage on one competitor, and then the structure of communities. The present work evaluated the effects of high temperature and natural enemies on the interspecific competition between the grain aphid Sitobion miscanthi (Takahashi) (Aphididae: Hemiptera) and bird cherry-oat aphid Rhopalosiphum padi (L.) (Hemiptera: Aphididae), two key pests of wheat in China. Results showed that the population growth of R. padi was faster at 30°C, and the intrinsic rate of natural increase (rm) value was 5 times that of S. miscanthi, indicating that R. padi was more high-temperature resistant and has advantages in interspecific competition at high temperature. Moreover, compared to S. miscanthi, the population of R. padi was less affected by their predator, larvae of the multicolored Asian lady beetle, Harmonia axyridis (Pallas) (Coleoptera: Coccinellidae), and aphid parasitoids, Aphidius avenae (Haliday) or Aphidius gifuensis (Ashmead) (Hymenoptera: Aphidiidae), which made them gain an advantage in the interspecific competition. Our results enrich the knowledge of phytophagous insect interspecific completion and implicate the ecological mechanism of R. padi may become the dominant species in wheat fields in China.

The majority of current research on sensor network localization focuses on wireless sensor networks deployed on two-dimensional (2D) plane or in three-dimensional (3D) space, very few on the 3D terrain surface. However, many real-world applications require large-scale sensor networks deployed on the surface of a complex 3D terrain. Compared with planar and 3D network localization, terrain surface network localization generates unique and fundamental hardness. We explore 3D surface network localization with terrain models. A digital terrain model (DTM), available to the public with a variable resolution of up to one meter, is a 3D representation of a terrain's surface. It is commonly built using remote sensing technology or from land surveying and can be easily converted to a triangular mesh. Given a sensor network deployed on the surface of a 3D terrain with one-hop distance information available, we can extract a triangular mesh from the connectivity graph of the network. The constraint that the sensors must be on the known 3D terrain's surface ensures that the triangular meshes of the network and the terrain's surface overlap and approximate the same geometric shape. The basic idea of the localization algorithms is to map the two triangular meshes extracted from the connectivity graph of a sensor network and the DTM of its deployed terrain surface to the plane. The two meshes mapped to the plane can be easily aligned if the location information of anchor nodes is available. We introduce a fully distributed algorithm to construct a well-aligned mapping between the two triangular meshes in the plane based on anchor nodes information. However, accidents may happen on anchor nodes. We then introduce an anchor-free algorithm to extract feature points with geometric properties intrinsic to surface distances and independent of the embedding of the two meshes in 3D. The matched feature points induce transformations to align the two meshes in the plane. With the aligned triangular meshes of a network and its deployed terrain surface, each sensor node of the network can easily locate reference grid points from the DTM of the terrain to calculate its own geographic location. We carry out extensive simulations under various scenarios to evaluate the overall performance of the proposed algorithms with different factors such as the one-hop distance measurement error, the resolution of a DTM, and the performance of the algorithm in the situation of connectivity only.

This paper considers a fundamental problem of designing routing scheme resilient to node or link failures for wireless sensor networks deployed on a surface of a complex-connected three-dimensional (3D) setting. Instead of heuristically detouring around the failed path, we borrow homotopy, an important topological concept, to effectively create and evaluate the diversity of alternative paths. We propose a tessellation-free and GPS-free method to compute paths with different homotopy types on surface networks. A source node greedily forwards a packet to its destination based on the computed nodes' virtual planar coordinates. When the current path fails, the source node can flexibly choose another greedy path from a different homotopy type to deliver the packet. The proposed algorithms are distributed and scalable to both the size and genus number of a surface network. We evaluate the performance of the proposed routing scheme under three different failure models. Simulation results show that our method achieves the best performance under geographically correlated failure models compared with other resilient routing schemes. We also compare our routing scheme with existing state-of-the-art ones specifically designed for surface networks when a network is failure free. Our method achieves the lowest stretch factor.

[目的]筛选不同光处理下粘虫Mythimna separata稳定表达的内参基因,为基因定量研究提供基础.[方法]以粘虫头部组织为材料,选取18s rRNA、EF-1α、β-actin、GAPDH和AK5种候选内参基因进行实时荧光定量PCR(qRT-PCR)分析,然后通过△Ct法,BestKeeper、GeNorrn、Normfinder和RefFinder软件对候选内参基因的稳定性进行分析;利用GeNorm软件进行基因配对差异分析,以判断内参基因的最适组合.[结果]5种候选内参基因的Ct值都处于15-28之间.4种软件对5个候选基因稳定性的分析结果存在一定差异.综合分析各种软件的分析结果,推荐粘虫成虫不同光处理条件下采用AK和GAPDH作为内参基因.[结论]根据特定试验体系选择合适的内参基因对于qRT-PCR定量结果的准确定和可靠性具有重要意义.本研究对后续粘虫在不同光处理条件下目标基因的准确定量具有重要意义.

利用作物间作和挥发物释放的农田害虫生态调控"推-拉"技术,可以增加田间生物多样性,提高天敌的控害效果,减少农药使用.然而,为了实现害虫防控的农药减施增效目的,不同施药器械施药结合生态调控技术对害虫和天敌种群动态以及作物产量的影响研究较少.本研究采用新型自走式喷雾机和传统手动背负式喷雾器两种施药器械,分别对单作小麦、小麦豌豆间作、小麦豌豆间作+蚜虫报警激素反式-β-法尼烯(EBF),以及小麦豌豆间作+水杨酸甲酯(MeSA)等处理下施用杀虫和杀螨剂,系统调查分析四种处理对小麦产量、小麦蚜虫、红蜘蛛,以及相关天敌发生量的影响.结果显示,自走式喷雾机的施药速度显著高于手动背负式喷雾机.不同施药器械防治小麦害虫可以显著影响小麦的穗粒数和产量.自走式喷雾机施药的间作+MeSA处理的小麦千粒重和产量明显高于其他处理.在单作田中,两种施药器械对荻草谷网蚜和瓢虫平均发生量无显著影响,自走式喷雾机施药处理的禾谷缢管蚜、红蜘蛛和天敌僵蚜的发生量显著降低.自走式喷雾机施药的间作+MeSA田的荻草谷网蚜、禾谷缢管蚜和红蜘蛛的发生量明显低于其他处理,而瓢虫的发生量显著高于其他处理.两种药械施药情况下,间作+MeSA田小麦上僵蚜量均明显高于单作田.两种施药器械施药前,单作和间作+MeSA田红蜘蛛发生量较低;施药后间作+MeSA处理的小麦红蜘蛛密度一直维持比较低的水平;间作+EBF和间作+MeSA的两个处理在喷药后第二次调查才达到红蜘蛛数量低峰,而同期的单作处理红蜘蛛发生数量有明显回升.总之,小麦间作+MeSA处理可以显著增加小麦产量,对于麦田小麦蚜虫和红蜘蛛的防控效果和对天敌的吸引保护效果最好.对麦田喷药效率、对害虫防控效果和增加小麦产量综合评价,自走式喷雾机具有明显优势.然而,需要注意的是对比传统手动喷雾器喷药可能对天敌寄生蜂有更强的非靶标作用.

为给荻草谷网蚜Sitobion miscanthi的准确预测预报提供理论依据,本研究利用过冷却点(Supercooling point,SCP)、低温暴露死亡率和冷识别温度(80％死亡率时的温度)等昆虫耐寒性指标评价低温条件下不同发育阶段该虫的耐寒能力.结果表明,荻草谷网蚜各发育阶段的SCP变化范围为-27.10～-12.23℃,SCP为1龄若蚜>2龄若蚜>有翅孤雌成蚜>无翅孤雌成蚜>4龄若蚜>3龄若蚜,其中1龄和2龄若蚜的SCP均显著高于3龄和4龄的SCP(P<0.01),3龄和4龄若蚜的SCP无显著性差异(P>0.05),无翅孤雌成蚜与其它发育阶段蚜虫的SCP均无显著性差异(P>0.05);两种虫态的低温存活率和冷识别温度分析表明,在-10～-8℃不同低温下,荻草谷网蚜1龄若蚜低温存活率均显著高于初羽化有翅成蚜的低温存活率(P<0.05),1龄若蚜和初羽化有翅成蚜的冷识别温度分别为-8.5℃和-7.9℃;两种虫态在0℃经过4 h冷驯化后,1龄若蚜和初羽化有翅成蚜在2 h的存活率提升最高,分别为62％和64％,均显著高于无冷驯化的对照组(P<0.05).本研究结果充分说明了荻草谷网蚜具有极强的耐低温适应能力,结合河南新乡近5年冬季极端低温数据,本文推测该虫能在冬季极端低温高于其冷识别温度的年份在当地越冬.

为了解黏虫和劳氏黏虫在河南原阳的发生情况,本研究利用佳多虫情测报灯对2015年-2019年两种害虫成虫的种群动态进行了监测,并对两者的发生动态进行了比较分析.结果表明,2015年-2019年间在河南原阳监测的黏虫和劳氏黏虫成虫均发生4代.两种成虫在原阳的发生规律存在明显差异,其中,黏虫以第一代为主,占全年总诱虫量的55.4％～93.6％,主要发生期在5月下旬至6月上旬;劳氏黏虫以第三代为主,占全年总诱虫量的54.4％～87.8％,主要发生期在9月下旬至10月上旬.本研究为河南省原阳地区黏虫和劳氏黏虫的预测预报和防控提供了参考.

To understand the visual sensitivity of western flower thrips to 350–450 nm light, we examined thrips selective response effect and the effect of white light on thrips visual response effect. The results showed that the visual selection response to Ultra Violet (UV) light at 360–365 nm, the approach sensitivity to 380–385 nm light with 6000 lx was respectively the best (15.59, 7.26%), while under light energy, both of them to 360–365 nm light with 60 mW/cm2 were the best (20.04, 11.13%). Under contrast white light, the most sensitive UV spectra of thrips respectively caused by illumination, light energy was 380–385, 360–365 nm, and white light enhanced thrips visual response effect to UV light, which further increased by the increasing intensity, showing that under illumination, the visual response effect to 380–385 nm light with 6000 lx was the best (51.21,69.78%), while that to 360–365 nm light with 60 mW/cm2 were the best (43.98, 65.68%), originated from the different intensity spread by light energy and illumination. These results indicate that the change of photo-stimulus intensity property can regulated thrips visual sensitivity to enhance the phototactic effect.

[目的]蛾类昆虫的趋光性与复眼明暗适应状态的转化有着直接的关系,本研究旨在阐明光照与草地贪夜蛾Spodotera frugiperda复眼明暗适应状态转化的关系.[方法]在光、暗适应条件和不同光照强度黄光照射下,在不同时间段,用相机迅速拍照,观察统计草地贪夜蛾成虫复眼的明暗适应状态及明、暗适应状态转化率.[结果]在明适应状态下,草地贪夜蛾成虫经黄光照射1h后,随光照强度的增加,复眼明适应状态保持率逐步升高:雄成虫复眼在0.1 ～0.5 lx时明适应状态保持率为67.77％(有32.23％的转化为暗适应状态与中间状态),4～6 lx时明适应状态保持率达到100％;雌成虫复眼在7～ 10 lx时,明适应状态保持率达98.90％.在明适应状态下,经黄光照射3h后,草地贪夜蛾成虫复眼明适应状态保持率亦随着光照强度的增加逐步升高,在0.1 ～0.5 lx时雄成虫复眼明适应状态保持率为50.00％,雌成虫为32.23％;在光照强度7～10 lX时,雌雄成虫复眼明适应状态保持率分别为90.00％和100％.在暗适应状态下,草地贪夜蛾成虫经不同光照强度的黄光照射30 min后,成虫复眼向明适应状态逐渐转化:在0.1 ～0.5 lx光照强度时雌、雄成虫复眼明适应状态转化率均为93.33％;当光照强度达到0.6～0.9 lx时雌成虫复眼的明适应状态转化率达到100％,雄成虫复眼则在1～2 lx时达到100％.[结论]结果说明,草地贪夜蛾成虫有较强的光敏感性,且雌虫对黄光的光敏感性略强于雄虫.

To reveal the nature of locusts’ visual reaction when stimulated by light, and to clarify the regulation characteristics of locusts’ phototactic visual physiology and obtain good spectral light features for locusts’ phototactic action, this study investigated locusts’ visual spectrum response by characterizing their photoreceptive reaction to LED light using an AvaSpec fiber-optic spectrometer system. Locusts’ phototactic response to spectral light was compared using this system. The results showed that locusts’ visual reaction characterization presents a photo-induced vision spectrum effect and that by offsetting the main wavelength of light and the spectral peak intensity, a time-varying bio-regulation effect emerges. In addition, locusts’ visual regulation ability to UV light is higher than that to violet light, whereas their reaction intensity is lower than to violet light, and the visual bio-regulatory force of locusts’ visual system absorbing orange light to react sensitively becomes gradually higher than when absorbing green light as time goes on. Moreover, corresponding to nominal illumination with the same radiant energy and a visual spectrum response stimulated by UV, violet, orange, and green light, it appears that the visual spectrum window is symmetrical around 382 nm, 400 nm, 602 nm, and 530 nm, respectively, with no significant difference between spectral amplitudes and having a time-varying incremental characteristic with amplitude peak width. This indicates that the stimulus intensity of UV, violet, orange, and green light exceeds locusts’ visual tolerance, causing them to generate regulation inactivation as a visual physiological reaction, whereas the visual window response effect stimulated by UV light presents an illumination timeliness effect. Simultaneously, time-varying characteristics of locusts’ bio-behavior intensity show that light intensity can make up for locusts’ visual sensitivity differences at various spectral wavelengths. Presented with differential response time, photosensitive behavior intensity, and induction effect induced by orange light, time is superior for orange light, the stimulation effect caused by violet light is the strongest, and the phototactic synergy effect caused by UV light is the best. Keywords: Locusta migratoria manilensis, photoreceptive spectrum effect, visual reaction intensity, photosensitive activity effect, spectral illumination DOI: 10.25165/j.ijabe.20211402.4758 Citation: Liu Q H, Jiang Y L, Miao J, Gong Z J, Li T, Duan Y, et al. Photoreceptive reaction spectrum effect and phototactic activity intensity of locusts’ visual display characteristics stimulated by spectral light. Int J Agric & Biol Eng, 2021; 14(2): 19–25.

Face recognition has been of great importance in many applications as a biometric for its throughput, convenience, and non-invasiveness. Recent advancements in deep Convolutional Neural Network (CNN) architectures have boosted significantly the performance of face recognition based on two-dimensional (2D) facial texture images and outperformed the previous state of the art using conventional methods. However, the accuracy of 2D face recognition is still challenged by the change of pose, illumination, make-up, and expression. On the other hand, the geometric information contained in three-dimensional (3D) face data has the potential to overcome the fundamental limitations of 2D face data. We propose a multi-Channel deep 3D face network for face recognition based on 3D face data. We compute the geometric information of a 3D face based on its piecewise-linear triangular mesh structure and then conformally flatten geometric information along with the color from 3D to 2D plane to leverage the state-of-the-art deep CNN architectures. We modify the input layer of the network to take images with nine channels instead of three only such that more geometric information can be explicitly fed to it. We pre-train the network using images from the VGG-Face \cite{Parkhi2015} and then fine-tune it with the generated multi-channel face images. The face recognition accuracy of the multi-Channel deep 3D face network has achieved 98.6. The experimental results also clearly show that the network performs much better when a 9-channel image is flattened to plane based on the conformal map compared with the orthographic projection.

Barometric pressure is an important factor influencing several insect traits. Most studies have been conducted on the behavior of insects in relation to rapid and slight changes in pressure magnitudes or short-term pressure trends, but there is little information on the effect of long-term and large pressure variations on insect traits. Here, we assessed the effects of static low barometric pressure on the tethered flight, lifespan and reproductive performance of Mythimna separata (Walker), a long-distance migratory insect, using an apparatus simulating low barometric pressure at altitudes of 500 m above sea level. We found that both the flight distance and flight duration of M. separata moths were significantly longer under low barometric pressure conditions. Exposure to low barometric pressure conditions for 24 and 48 h significantly shortened the lifespan of female moths but had no influence on male moths. The ovaries of female moths developed earlier, and the preoviposition and oviposition periods were significantly shortened under low atmospheric pressure. Moreover, low atmospheric pressure reduced the respiration rate of female moths. However, there was an increase in the respiration rate of female moths after being returned to standard barometric pressure conditions. Our results show that the behavior and physiological traits of insects are affected by the low-pressure environment during migration. The low barometric pressure conditions at high altitudes is one of important factors accelerating reproductive behavior of M. separata after migration.

为阐明黄光光照强度对甜菜夜蛾Spodoptera exigua Hübner成虫生殖行为和寿命的影响.本研究设置3个光照强度(1 Lx,10 Lx,100 Lx)和一个对照(CK)处理,观察记录不同处理下甜菜夜蛾的单雌产卵量、产卵前期、产卵期、卵孵化率及成虫寿命.结果表明,黄光不同光照强度对甜菜夜蛾的生殖行为和雌成虫寿命均存在不同程度的影响,在光照强度达到10 Lx和100 Lx的情况下,其单雌产卵量明显降低,产卵历期和雌成虫寿命明显缩短,当光照强度为1 Lx情况下与对照相比无明显差异.该研究结论为防蛾灯的进一步优化和完善提供了一定的理论支撑.

[目的]探究绿黄波段防蛾灯照射对大白菜生长指标、产量及营养品质的影响,为防蛾灯的应用和大面积推广提供科学依据.[方法]分别以565～585 nm波段黄光和515～535 nm波段绿光的防蛾灯照射大白菜幼苗,以不进行光处理为对照,测定大白菜生长指标、成熟期产量及光合色素和代谢产物的含量.[结果]绿黄光照射对大白菜生长指标(根长、株高、叶片数、叶面积、鲜重、干重和成熟期产量)、叶绿素及可溶性糖含量无明显影响,各指标与对照相比无显著差异(P>0.05,下同);与对照相比,绿光和黄光照射处理极显著提高了大白菜叶片中维生素C含量(P<0.01),分别增加了36.54％和15.00％;游离氨基酸含量以黄光照射处理最高,分别显著高于对照和绿光照射处理33.00％和29.50％(P<0.05,下同);可溶性蛋白含量以绿光照射处理最高,显著高于对照28.34％,较黄光处理高24.28％,但差异不显著;绿、黄光照射处理后大白菜叶片中粗纤维含量显著增加,分别较对照增加5.1％和5.6％.[结论]绿黄光防蛾灯照射对大白菜生长、产量及营养品质均无负面影响,且可在一定程度上改善大白菜的营养品质,可在大白菜生产中推广应用防蛾灯.

瘿蚊科是双翅目昆虫中的重要类群.本研究对瘿蚊科3种昆虫 麦红吸浆虫、菊花瘿蚊和食蚜瘿蚊的核糖体DNA进行PCR扩增、克隆、测序及序列分析,并对ITS-1在麦红吸浆虫4个地理种群中的遗传变异情况进行分析.结果 表明,从3种昆虫中获得的核糖体DNA序列包括:部分的18S rDNA(44 bp)、28S rDNA(37 bp),全部的ITS-1(487～535 bp),5.8S rDNA(121 bp)及ITS-2(336～352 bp)序列.3种昆虫ITS序列的碱基差异百分比在17.21％～29.59％之间,共含有206个变异位点.ITS-1序列在麦红吸浆虫4个地理种群中比较保守,只有4个变异位点,单倍型多样性为0.311 7～0.796 5,核苷酸多样性为0.000 6～0.002 2.本研究为今后瘿蚊科昆虫的分类鉴定、系统发育和遗传进化等相关研究提供了基础.

As a leading city in the Chinese economy, Beijing has gradually transformed its industrial structure to centralized, large-scale, and high-end industries. In recent years, the migrant labor force and permanent population in Beijing have increased year by year, and the population pressure has further expanded. With the adjustment of the industrial structure, the demand for labor has changed, and the labor force has moved on a large scale. This article takes Beijing as the research object and adopts a combination of qualitative and quantitative research methods to further explore the changes in Beijing’s industrial structure from the perspective of labor mobility. First, by analyzing the correlation between labor mobility and industrial structure changes in Beijing, the measurement indicators of its migrant labor are determined. Secondly, by defining the measurement of industrial structure adjustment, using relevant data from the Beijing Statistical Yearbook, and analyzing the correlation between labor mobility and industrial structure changes through the analysis method of gray correlation. Finally, regarding the problems in Beijing’s industrial adjustment under the background of labor mobility, it is proposed to improve the disadvantages of Beijing’s industrial structure adjustment through three aspects: increasing government support, improving labor market information, and avoiding employment competition pressure, in order to provide reference for Beijing.