Pay close attention to 300 million data to make the "moth" appear Food security is "the largest country". The Sixth Plenary Session of the 19th Central Commission for Discipline Inspection clearly required to deepen the special rectification of corruption in the field of grain purchase and sales when deploying the main work in 2022. In the field of grain purchase and sale, there are large stalls and many links involved. To effectively solve the long-standing problems, we need to introduce modern management and supervision mode from the system and mechanism. Shenyang Commission for Discipline Inspection and supervision of Liaoning Province comprehensively combed the exercise process in the field of grain purchase and marketing, collected 300 million relevant data, established 17 supervision models, explored embedded supervision, and made efforts to form a normal and long-term effect. How to generate greater supervision efficiency and find problems faster through big data empowerment? The reporter has an in-depth understanding of the practice of big data supervision in the field of grain purchase and sales in Shenyang. Collect 300 million data to lay a solid foundation for supervision in the field of grain purchase and sales "Provide help for others in grain transportation, settlement of grain funds and other aspects, and accept bribes..." in January this year, Zhang Xinliang, former head of the purchase and marketing department of Shenyang south grain Co., Ltd., was expelled from the party. With the transfer of Zhang Xinliang's suspected crime, the data verification of suspected food related problems related to the enterprise transferred from the big data supervision platform of Shenyang Discipline Inspection Commission is also coming to an end. "After several years of exploration, our big data supervision has been applied in civil affairs, civil air defense, development and reform, official fuel card and other fields and special projects, and some problems have been found and solved." Cha Yan, director of the big data supervision office of Shenyang Commission for Discipline Inspection, told reporters that the application of big data supervision in the field of grain purchase and sales began last year. In August 2021, the Central Commission for Discipline Inspection and the State Supervision Commission launched a nationwide special rectification work on corruption in the field of grain purchase and sales. In order to deal with the prominent problems in this field, Shenyang has simultaneously deployed and promoted the special rectification in the field of grain purchase and sales and the special inspection of grain related issues. During the special rectification period, the Municipal Commission for Discipline Inspection and supervision comprehensively carried out the bottom and investigation of clues to food related problems, listed for supervision, review and review, sorted out 105 clues to food related problems since the 18th CPC National Congress, and promoted relevant units to self inspect and correct 220 problems. "We adhere to the problem orientation, open the way with cases, collect targeted data in combination with typical cases in the grain field and the actual situation of Shenyang grain and oil group, and strive to make every data work best." Introduction to cha Yan. Focusing on the three problems of quantity, quality and price, Shenyang Commission for Discipline Inspection and supervision sorted out the problems and risks existing in the field of grain purchase and sales. The quantity problem is mainly the discrepancy between the account and the actual, the shortage of stock, etc; The quality problems are Chen Dingxin and adulteration; The price problem is false acquisition, grade and price reduction, etc. From the perspective of grain related business, there are mainly problems in five links: rice rotation, purchase of new grain, sale of old grain, storage management and transportation, such as the problem of "rotating grain" in rice rotation, selling old grain and then purchasing new grain, making price difference in partnership with grain merchants, defrauding financial rotation subsidies, etc. Big data supervision, data collection is the foundation and key. In late September last year, Shenyang Municipal Commission for Discipline Inspection and supervision successively obtained 300 million business data in the field of grain purchase and sales from Shenyang grain and oil group, municipal development and Reform Commission, Municipal Public Security Bureau, Municipal Taxation Bureau and other units. Divided by "people, enterprises, vehicles, grain and money", it involves 2096 relevant personnel of Shenyang grain and oil group, 545 upstream and downstream enterprises involved in grain business, 4508 grain transportation vehicles, 16200 grain warehousing and warehousing management system data, and obtains financial data, tax data, bank statements and other data of grain related enterprises. On this basis, combined with the existing data of industry and commerce, Party members, six types of supervision objects, human resources and social security on the big data supervision platform, a special database for big data supervision in the field of grain purchase and sales has been preliminarily established to realize the digitization and listing of projects, funds, materials, decision-making and power (people) in the field of grain, so as to lay a foundation for comparative analysis, accurate research and judgment and problem discovery. "Full staff modeling" and "full coverage modeling", establish models scientifically and conduct accurate comparison and analysis Massive data, how to exert its power? In the process of big data supervision in the field of grain purchase and sales, Shenyang Commission for Discipline Inspection and supervision strengthened embedded supervision by means of big data technology, integrated into the whole process of power exercise, and promoted the use of power according to law, standardized use of power and clean use of power. "Insist on solving problems one by one, making breakthroughs one by one, and expanding one field by one, so that a set of data can be collected accurately and a model can be developed effectively." Yang Yuxin, member of the Standing Committee of Shenyang municipal Party committee, Secretary of the Municipal Commission for Discipline Inspection and director of the supervision committee, put forward specific requirements for the accurate establishment of the supervision model. Establish a basic supervision model, compare the employee information data of Shenyang grain and oil group with the subject database of enterprise legal persons at the provincial and municipal levels, and find out the problems of relevant objects running businesses. Establish the related person supervision model, compare and analyze the relevant data in the warehouse in and warehouse out management system, reserve grain rotation data, warehouse leasing and purchase and sales data, commodity grain sales data with the subject databases such as public security population, provincial and municipal enterprise legal persons, and record the relationship map of grain purchase and sales business units, regulatory units and social personnel. Establish a business supervision model, explore the supervision model of grain weight, compare and analyze the vehicle net weight and other data in the public security system with the vehicle, net weight, gross weight and other data in the warehousing management system, warehousing grain information and settlement information, and find that the warehousing and warehousing of grain is inconsistent with the actual inventory. "Through data research and judgment, we take specific problems as the starting point and breakthrough, and excavate the interest transmission behind from a small incision." Li Yong, deputy director of the big data supervision office of the Municipal Commission for Discipline Inspection, demonstrated the operation of the platform through big data involving grain transport vehicles. In front of the screen, Li Yong used models such as "abnormal driving track of grain transportation vehicles", "abnormal access times of grain transportation vehicles" and "the tare weight, gross weight and net weight of grain transportation vehicles are exactly the same". After clicking the mouse, he quickly locked some suspected problem data. "Some grain transport vehicles appear tens of kilometers away from the grain depot within a few minutes after leaving the grain depot. Some grain transport vehicles enter and leave the grain depot several times within a few minutes to trade goods, which is obviously less than the shortest inspection time." Li Yong introduced that through the model of grain transportation vehicles, a large number of suspected problems have been found, involving 201 grain merchants, 482 grain transportation vehicles and 27000 tons of grain. "Full staff modeling and full coverage modeling are the direction of our work." Li Yong said that in the modeling process, he not only listened to the suggestions of the business department, but also got their verification in practical work. During the special inspection of grain related issues of Shenyang municipal Party committee, the inspection team carefully combed the problems found and handed over 52 problem clues. At the same time, combined with its own work, it explored and established a case supervision model to provide reference for big data supervision. The Municipal Commission for Discipline Inspection and supervision appointed the 12th discipline inspection and supervision team to verify the three models established by the inspection team, so as to continuously improve the pertinence and effectiveness. The discipline inspection and supervision team formulated a special application plan for big data in the field of grain purchase and sales, and carried out work from five aspects: problem types, data collection phenomena, verification methods and suspected problems. "We retrieved the original financial data of a grain related enterprise from 2006 to 2021, covering economic accounts such as grain purchase and sales, financial expenditure and accounts receivable, so that we should search everything." According to the relevant staff, by strengthening the data comparison and analysis, research and sorting, and classifying and sorting according to the categories of commodity grain warehousing and ex warehouse, it was not only found that a certain unit involved 18 doubtful accounts, but also verified the accuracy and feasibility of the establishment of the model. Xinmin, Faku and other municipal, county and District Commission for Discipline Inspection and supervision scientifically summarized the statistical methods, data forms and data contents according to the actual situation, summarized the characteristics of similar cases from the key links of the unit exercise process, aimed at the breakthrough point of typical cases, grasped the entry point of major cases, and conducted a comprehensive physical examination of the political ecology in the field of grain purchase and marketing. Explore and build a "two wheel drive" pattern of big data supervision and case handling, and constantly improve the efficiency of supervision and governance In December last year, the Shenyang Municipal Commission for Discipline Inspection and Supervision established a special verification class for big data supervision and discovery problems in the field of grain purchase and sales. As a member of the special class, Liaozhong District Commission for Discipline Inspection and supervision undertook the task of verifying the suspected problems compared with Shenyang Nanfang grain Co., Ltd. Previously, designated by Shenyang Municipal Commission for Discipline Inspection and supervision, Liaozhong District Commission for Discipline Inspection and supervision was responsible for handling clues of Zhang Xinliang's serious violation of discipline and law. "Considering the combination of big data supervision and case investigation, we selected four comrades in charge of big data supervision and members of the task force to go deep into the front line to cooperate with the case investigation while carrying out big data verification." Qiu Shengnan, head of big data supervision of Liaozhong District Commission for Discipline Inspection, told reporters that due to the understanding of the case, the time for big data to find problems, analyze problems and related problems has been reduced. "In the process of verification, we retrieved a large number of financial vouchers, grain purchase and sales accounts, vehicle files and track information, and cooperated with field visits, individual conversations, horizontal exchanges and other ways to carry out work." Qiu Shengnan said. The survey found that from 2008 to 2017, Zhang Xinliang took advantage of his position to provide assistance to a number of grain merchants in settling grain funds, recovering funds and grain transportation, and accepted bribes more than 10 times. Zhang Xinliang's other serious violations of discipline and law were soon verified. "Only by persisting in learning, investigating, working and summarizing, summarizing experience in time and grasping the law can we continuously improve the quality and level of work. We adhere to the principle of 'case generation model and model generation case'. From the perspective of Zhang Xinliang and other cases, it is necessary to sort out the key personnel and key grain merchants in the grain depot through analyzing the suspected problem data, and carry out secondary modeling, so as to provide data assistance for the preliminary verification of clues of key problems and the investigation and handling of cases." Cha Yan said that in the future, relevant practitioners can be statistically analyzed in combination with big data to provide data for relevant units and jointly purify the ecology in the field of grain purchase and sales. Using big data means to carry out special rectification of corruption in the field of grain purchase and sales, and strengthening the cooperation of "office group local Patrol" is very key. The supervision committee of Shenyang Municipal Commission for Discipline Inspection implements the "operation of big soldiers and regiments", formulates special rectification plans and sub plans for self inspection and self correction, case investigation and handling and big data supervision, and promotes special rectification, special patrol, big data supervision and discipline enforcement review through regular joint dispatching, problem consultation and joint tackling. The 12th discipline inspection and supervision group dispatched by Shenyang Municipal Commission for Discipline Inspection continued the loss standard used by the special inspection group on grain related issues, retrieved thousands of grain data from Shenyang grain and oil group and its subordinate grain depots, compared the difference between outbound volume and inbound volume to form loss data, calculated the loss data and storage data to generate the grain loss rate in the process of grain storage and transportation, and found 8 suspected "grain loss" problems with loss rate higher than 2%. After further investigation by the supervision committee of Tiexi District Commission for Discipline Inspection, a detainee admitted the problem of selling 390 tons of commercial grain, withholding funds to repay other arrears, and writing off in the form of "lost grain" out of thin air. The supervision committee of Shenyang Municipal Commission for Discipline Inspection explores the systematic application of big data technology to the process of case handling, makes full use of the big data analysis tools developed by the supervision committee of Liaoning Provincial Commission for Discipline Inspection, adopts data intelligent correlation analysis method, etc., provides support for case breakthrough, and promotes the "two wheel drive" of big data supervision and case handling. While coordinating the supervision force, Shenyang Municipal Commission for Discipline Inspection