Compare and assess. Management target: The toll management system of the non local group version is designed and developed for the cross regional group heating enterprises, and builds a comprehensive information platform around customer, area and cost management. It supports different management modes of multiple locations and multiple subsidiaries to achieve strict separation of data between subsidiaries, while the group headquarters can supervise and review subsidiaries, and achieve the integration of all business data, solving the problems of repeated investment and data sharing of group companies. According to the needs of local policies, the subsidiaries in each region independently improve the customer's heat use files, clarify the heating area and status, open up multiple service channels such as WeChat, Alipay, banks, counters, and so on, and internally link the finance and offline mobile terminal switch, check, and clear up debts, so as to achieve the goal of each department.
This is also an important step. As we continue to deepen our data analysis, we find that the data migration work of Datong Thermal is much more complex than we thought. This complexity is not the huge data magnitude mentioned above, but the non-standard data. We learned that some functions of the original charging system in the application process can not meet the business needs, so people who operate the software often use an unconventional operation to achieve a certain business, such as directly modifying the heating fee receivable if the recovery cannot be achieved after the suspension is reported, directly modifying the standing book if the area settlement is not correct, and Director Zhang also said.
This is what I expected. On August 16, the training finally came to an end. These days, the brothers and sisters of Datong have listened attentively and enthusiastically. I think an enterprise is a dynamic enterprise if its employees have a positive attitude towards work and are willing to accept new things. We are willing to serve them. Although it has been a little hard these days, we are very pleased. In the following days, Director Xu allowed everyone to get familiar with the system and perform simulation exercises. At the same time, we also printed the User Manual for distribution to help everyone learn and consolidate the system operation. By the time the system went online, everyone's understanding and operating proficiency of the system had reached the standard, and some people even exceeded my expectations. It was great! The first few days before the project was launched, it was like darkness before dawn.
Shaanxi Natural gas charging system software There has never been such a big fight on other projects, because the magnitude of data cannot be reached. This time, we have organized a special team to be responsible for the performance test and optimization of Datong Thermal. The test is divided into performance troubleshooting stage and stress test stage. Performance troubleshooting stage: test all the functions of the system according to the test cases, find out the functions that lead to the increase of system resources and slow response, record them, and optimize the performance problems exposed in this stage. Stress test phase: perform concurrent stress test on common functions. In this phase, we focus on several main performance indicators: response time, throughput, and system resource consumption. First, the common functions that need stress testing are determined and the test scripts are sorted out. Determine the test concurrency of 5,10,15,30,50 according to the actual use of the customer, and simulate 5010015030500 people using the system at the same time. Lock the functions with performance problems according to the concurrency test results, and determine how to allocate the resources of each virtual machine and how many Tomcat clusters to create. On site training At the beginning of August, Director Xu called me to the office to discuss the system training.
Business collaboration. Data between different subsidiaries will not interfere with each other, so as to realize orderly business development of each subsidiary. The head office of the group can supervise the management of expenses, inspections and other work of subsidiaries in real time, and deal with and correct the abnormalities of subsidiaries in a timely manner. Integrating heating big data provides decision-making basis for heating production, and finally achieves the goal of "decentralized operation and centralized management", realizing agile group organization and operation. Self management at all levels of the solution requires the group to help its subsidiaries clarify the management norms and processes rather than take all the responsibilities.
In order to seek market survival opportunities. In fact, your concentration and professional ability determine whether you can survive this winter. Secondly, let's take a look at the development of the heating industry. With the promotion of the national coal to gas land conversion, the energy cost of many heating enterprises has risen sharply. In addition, the real estate has gradually cooled down, and the income of supporting fees has also become less and less. In addition, the local government finance is not loose, and financial subsidies are not available. This situation has led to many heating enterprises operating difficulties, It will also lead to difficulty in collecting payment from IT vendors. The changes in the external environment have also prompted heating enterprises to turn to refined operation, focusing on energy conservation and consumption reduction and improving management efficiency. On the other hand, many private capital have transformation needs, and they are also consciously acquiring some heating enterprises.
