| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_d6a6f422b091ba12ea61d4adbf1b0e8e
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_a96645da57827e97ae3ea8fc7645949f |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/Y02A20-152 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q10-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q10-06313
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06Q50-06
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-006 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q10-06
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q10-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06Q50-06 |
| filingDate |
2022-04-14-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_022dd1f06b079816bfde58aeceb2fa81
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_07537f384bf8f7b07f997f8380421d29
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_25b32785add11e713eada6735a210273
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_cacc49b1b241ab5c5be7cf109c895857
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_36fbdc13e393515f901733ffb4552304
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_d74c687955cf228bd07aa7cec069d047 |
| publicationDate |
2022-08-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
CN-114881293-A |
| titleOfInvention |
Plant-station joint control optimization scheduling method for large-scale reconstruction and expansion of water supply network |
| abstract |
The invention discloses a "plant-station" joint control optimization scheduling method for large-scale reconstruction and expansion of water supply pipe networks, comprising the following steps: (1) determining the time range that needs to be optimized and scheduling, usually 24 hours a day; (2) obtaining The parameters of the water pump unit in the water plant and the regional pressurized pumping station are calculated, and the characteristic curve of the pump is calculated; (3) The constraints of the "plant-station" joint control optimization scheduling model are determined; (4) The water supply pipe network "plant-station" joint control optimization scheduling is established Model, use artificial bee colony algorithm to solve the optimal operation plan; (5) compare multiple groups of operation plans to obtain the optimal operation plan of the current pipe network. |
| priorityDate |
2022-04-14-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |